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Spurious correlation #1,099 · View random

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Average Cost of a 30-Second Ad Commercial during the Academy Awards and the second variable is Valero Energy's stock price (VLO).  The chart goes from 2002 to 2022, and the two variables track closely in value over that time. Small Image
Download png
, svg

AI explanation

As the 30-second ad cost rose, companies with ad budgets had to cut corners elsewhere. Some decided to skimp on office snacks, leading to a drop in demand for snack products. This reduced the need for packaging, impacting the demand for plastic, which is derived from petroleum, a major product for Valero Energy. The unexpected surge in ad prices led to an indirect boost in Valero's stock as the snack ripple effect kicked in.

Model: dalle-3
Prompt: Generate an image in the style of a black-and-white newspaper illustration. Show a bustling Hollywood red carpet event with celebrities lining the venue. Nearby, depict a Valero Energy gas station with a newly installed "Movie Star Motor Oil" sign. In the background, a 30-second ad commercial for the premiere of a blockbuster film is playing on a large billboard, and the average cost of advertising during the Academy Awards is visibly increasing. Make sure the visual depiction is simple without any words or speech bubbles. The depiction should include only scenes, people, and objects, it should not include text or speech bubbles.
This image generation prompt was also generated by AI, using the following sequence:

Model: gpt-3.5-turbo-1106
System prompt: You select one of a few potential scene descriptors that seems to go along with the situation described. You respond only with the scene descriptions provided and say nothing else.
User prompt: Here is a situation: The increase in the Average Cost of a 30-Second Ad Commercial during the Academy Awards caused Valero Energy's stock price to also increase because the extra ad revenue allowed Valero to invest in a top-secret project to convert Hollywood hot air into biofuel, resulting in a new blockbuster product: Movie Star Motor Oil.. Given that situation, which of the following image descriptions seems most appropriate? Pick the one that seems to be related to one of the variables at hand and the tone of the explanation. Please respond with only one of the following potential descriptions: Cybernetic art A black-and-white newspaper illustration Parallax art Cute 2D animation A scene from Skyrim
ChatGPT: A black-and-white newspaper illustration

Model: gpt-3.5-turbo-1106
System prompt: You describe simple visual scenes that depict the two variables stated and the explanation described. Do not reference graphs or charts; describe physical objects.
User prompt: Please describe a visual scene that depicts the following situation. Keep the description simple. The increase in the Average Cost of a 30-Second Ad Commercial during the Academy Awards caused Valero Energy's stock price to also increase because the extra ad revenue allowed Valero to invest in a top-secret project to convert Hollywood hot air into biofuel, resulting in a new blockbuster product: Movie Star Motor Oil.
ChatGPT: A bustling Hollywood red carpet event is shown, with celebrities lining the venue. As the camera pans to the nearby streets, a Valero Energy gas station is seen, with a newly installed "Movie Star Motor Oil" sign. Meanwhile, a 30-second ad commercial for the premiere of a blockbuster film is playing on a large billboard and the average cost of advertising during the Academy Awards is visibly increasing.

Model: gpt-3.5-turbo-1106
System prompt: You write and improve image generation prompts for DALLE-3. You maintain the same subjects, but enhance the visuals.
User prompt: Please respond with an image generation prompt that would be likely to create an interesting visual using DALLE-3, using the following style: [ A black-and-white newspaper illustration ] and depicting this scene: A bustling Hollywood red carpet event is shown, with celebrities lining the venue. As the camera pans to the nearby streets, a Valero Energy gas station is seen, with a newly installed "Movie Star Motor Oil" sign. Meanwhile, a 30-second ad commercial for the premiere of a blockbuster film is playing on a large billboard and the average cost of advertising during the Academy Awards is visibly increasing. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image in the style of a black-and-white newspaper illustration. Show a bustling Hollywood red carpet event with celebrities lining the venue. Nearby, depict a Valero Energy gas station with a newly installed "Movie Star Motor Oil" sign. In the background, a 30-second ad commercial for the premiere of a blockbuster film is playing on a large billboard, and the average cost of advertising during the Academy Awards is visibly increasing. Make sure the visual depiction is simple without any words or speech bubbles.

*Variations in the User Prompts from chart to chart are just the result of random number generation in Python. I wrote a few arrays of various styles and methods to ask questions to change up the results. Every time this site writes an explanation or generates an image, the script picks from each at random.

I sequence the requests into multiple prompts because I find GPT 3.5 to perform much better with short, well-managed contexts. Thus, I track the context directly in Python and only ask ChatGPT targeted questions.

Model: gpt-3.5-turbo-1106 (fine-tuned)
System prompt: You provide humorous responses in the form of plausible sounding explanations for correlations. You assume the correlation is causative for the purpose of the explanation even if it is ridiculous. You do not chat with the user, you only reply with the causal connection explanation and nothing else.
User prompt: Please make up a funny explanation for how an increase in Average Cost of a 30-Second Ad Commercial during the Academy Awards caused Valero Energy's stock price (VLO) to increase. Make it feel plausible.

AI academic paper

(Because p < 0.01)
Oil Be There for You: The Crude Connection Between Oscar Ad Costs and Valero Energy's Stock Price

The Journal of Financial Petroleum Studies

Jan 2024

Reminder: This paper is AI-generated. Not real!
Quick note: This sequence is long and repetitive. That's how the prompt engineering works for this one. I manage the output in Python to format it into this PDF.




Model: gpt-3.5-turbo-1106
System prompt: You are a silly researcher writing an academic paper.You write titles and abstracts of goofy academic research papers.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, and add unexpected twists in your writing.

Please draft the title and abstract of an academic research paper presenting the findings of the connection between Average Cost of a 30-Second Ad Commercial during the Academy Awards and Valero Energy's stock price. Make lots of jokes, goofy observations, and puns.

Make the title a clever pun.

Your research team used data from Statista and LSEG Analytics (Refinitiv) to assess this nagging question. You found a correlation coefficient of 0.9114116 and p < 0.01 for 2002 to 2022.

Please respond in this format (replace "Lorem ipsum dolor sit" with your title and abstract)

[[TITLE]]
Lorem ipsum dolor sit

[[ABSTRACT]]
Lorem ipsum dolor sit



ChatGPT:
[[TITLE]]
"Oil Be There for You: The Crude Connection Between Oscar Ad Costs and Valero Energy's Stock Price"

[[ABSTRACT]]
In this study, we explore the unexpected relationship between the Average Cost of a 30-Second Ad Commercial during the Academy Awards and the stock price of Valero Energy. While audiences are entertained by the glitz and glamour of the Oscars, we delved into the less glamorous world of economic data to uncover a striking correlation. Our findings reveal a correlation coefficient of 0.9114116 and p < 0.01 for the years 2002 to 2022, suggesting a curious link between the two seemingly unrelated phenomena. Join us as we break down the numbers and uncover the surprising connection between the silver screen and the stock market. From red carpets to red barrels, this research sheds light on the unexplored intersection of Hollywood and oil.


Model: gpt-3.5-turbo-1106
System prompt: You are a silly researcher writing an academic paper.You draft the introduction section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up the introduction section of an academic research paper presenting the findings of the connection between Average Cost of a 30-Second Ad Commercial during the Academy Awards and Valero Energy's stock price. Make lots of jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Here is the title and abstract of the paper:
[[TITLE]]
"Oil Be There for You: The Crude Connection Between Oscar Ad Costs and Valero Energy's Stock Price"

[[ABSTRACT]]
In this study, we explore the unexpected relationship between the Average Cost of a 30-Second Ad Commercial during the Academy Awards and the stock price of Valero Energy. While audiences are entertained by the glitz and glamour of the Oscars, we delved into the less glamorous world of economic data to uncover a striking correlation. Our findings reveal a correlation coefficient of 0.9114116 and p < 0.01 for the years 2002 to 2022, suggesting a curious link between the two seemingly unrelated phenomena. Join us as we break down the numbers and uncover the surprising connection between the silver screen and the stock market. From red carpets to red barrels, this research sheds light on the unexplored intersection of Hollywood and oil.

-------

Your response should start like this:

[[INTRODUCTION]]



ChatGPT:
INTRODUCTION

Lights, camera, action! When one thinks of the Academy Awards, visions of glittering gowns, tearful acceptance speeches, and more drama than a telenovela typically come to mind. While the Oscars may be the pinnacle of Hollywood glamour, our research dives into the depths of data to uncover an unexpected connection between the Average Cost of a 30-Second Ad Commercial during the Academy Awards and the stock price of Valero Energy. Yes, you read that right – we're bridging the gap between the silver screen and the stock market, and the results are as surprising as a plot twist in a summer blockbuster.

As researchers, we are accustomed to dealing with unpredictable variables, but this peculiar relationship truly had us scratching our heads. Who would have thought that the glitz and glam of Oscar ad prices could have a correlation with the stock performance of an oil company? Oh, the wonders of statistics and the magic of correlation coefficients!

The correlation coefficient of 0.9114116 brings a whole new meaning to the phrase "lights, camera, correlation!" This coefficient, coupled with a p-value of less than 0.01, indicates a strong and statistically significant association between these two seemingly disparate phenomena. It's as if Hollywood and the oil industry have been silently scripting a subplot that has gone unnoticed until now.

So, grab your popcorn and strap in as we embark on this research journey, where red carpets intersect with red barrels. From box office dollars to drilling rigs, the unexpected threads that connect these seemingly unrelated worlds are about to be unraveled. It's a tale of intrigue, suspense, and a touch of statistical stardom that will leave you pondering the link between Tinseltown and Texas Tea.


Model: gpt-3.5-turbo-1106
System prompt: You are a silly researcher writing an academic paper.You draft a literature review section of an academic research paper, that starts out dry for the first few sentences but then becomes hilarious and goofy.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up a literature review section of an academic research paper presenting the findings of the connection between Average Cost of a 30-Second Ad Commercial during the Academy Awards and Valero Energy's stock price. Make lots of jokes, goofy observations, and puns.

Speak in the present tense for this section (the authors find...), as is common in academic research paper literature reviews. Name the sources in a format similar to this: In "Book," the authors find lorem and ipsum.

Make up the lorem and ipsum part, but make it sound related to the topic at hand.

Start by naming serious-sounding studies by authors like Smith, Doe, and Jones - but then quickly devolve. Name some real non-fiction books that would be related to the topic. Then name some real fiction books that sound like they could be related. Then devolve ever further, and mention something completely ridiculous, like you conducted literature review by reading CVS receipts.

Here is the title and abstract of the paper:
[[TITLE]]
"Oil Be There for You: The Crude Connection Between Oscar Ad Costs and Valero Energy's Stock Price"

[[ABSTRACT]]
In this study, we explore the unexpected relationship between the Average Cost of a 30-Second Ad Commercial during the Academy Awards and the stock price of Valero Energy. While audiences are entertained by the glitz and glamour of the Oscars, we delved into the less glamorous world of economic data to uncover a striking correlation. Our findings reveal a correlation coefficient of 0.9114116 and p < 0.01 for the years 2002 to 2022, suggesting a curious link between the two seemingly unrelated phenomena. Join us as we break down the numbers and uncover the surprising connection between the silver screen and the stock market. From red carpets to red barrels, this research sheds light on the unexplored intersection of Hollywood and oil.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
INTRODUCTION
Lights, camera, action! When one thinks of the Academy Awards, visions of glittering gowns, tearful acceptance speeches, and more drama than a telenovela typically come to mind. While the Oscars may be the pinnacle of Hollywood glamour, our research dives into the depths of data to uncover an unexpected connection between the Average Cost of a 30-Second Ad Commercial during the Academy Awards and the stock price of Valero Energy. Yes, you read that right – we're bridging the gap between the silver screen and the stock market, and the results are as surprising as a plot twist in a summer blockbuster.
As researchers, we are accustomed to dealing with unpredictable variables, but this peculiar relationship truly had us scratching our heads. Who would have thought that the glitz and glam of Oscar ad prices could have a correlation with the stock performance of an oil company? Oh, the wonders of statistics and the magic of correlation coefficients!
The correlation coefficient of 0.9114116 brings a whole new meaning to the phrase "lights, camera, correlation!" This coefficient, coupled with a p-value of less than 0.01, indicates a strong and statistically significant association between these two seemingly disparate phenomena. It's as if Hollywood and the oil industry have been silently scripting a subplot that has gone unnoticed until now.
So, grab your popcorn and strap in as we embark on this research journey, where red carpets intersect with red barrels. From box office dollars to drilling rigs, the unexpected threads that connect these seemingly unrelated worlds are about to be unraveled. It's a tale of intrigue, suspense, and a touch of statistical stardom that will leave you pondering the link between Tinseltown and Texas Tea.

-------

Your response should start like this:

[[LITERATURE REVIEW]]



ChatGPT:
[[LITERATURE REVIEW]]

The relationship between advertising expenditures and stock prices has garnered the attention of many scholars and researchers. Smith et al., in "Advertising and Stock Performance: A Meta-Analysis," conducted a comprehensive review of studies exploring the impact of advertising on firm value. Their findings suggest that advertising investments can influence stock prices through various channels, including brand perception, consumer behavior, and market perception. Additionally, Doe and Jones, in "The Economics of Advertising: Theory and Evidence," examined the effects of advertising on stock prices and found that companies with higher advertising expenditures tended to experience increased stock valuations.

Moving from the realm of serious economic study to real-world applications, books such as "Freakonomics" by Steven D. Levitt and Stephen J. Dubner shed light on unconventional connections in the economic landscape. Their investigation into unexpected correlations leaves readers with a newfound appreciation for the complexities of economic interactions. On the fictional front, "Oil & Glory" by John J. Miller and Mark Molesky, although a work of fiction, paints a vivid picture of the intricate relationships within the oil industry and the multifaceted factors that contribute to its market dynamics.

As we venture into the more unconventional sources of literature, it's worth noting that the authors took a whimsical approach to the research process. In addition to the standard academic papers and economic textbooks, the authors undertook an unorthodox method of conducting a comprehensive literature review by perusing a collection of discarded CVS receipts. While these seemingly mundane slips of paper are typically overlooked, their potential for hidden economic insights cannot be discounted. Despite the skeptical glances from fellow researchers, the authors remained undeterred in their pursuit of unconventional wisdom.

In delving into the whimsical and unexpected sources, the authors uncovered a treasure trove of noteworthy findings that contribute to the broader understanding of the interplay between advertising costs during the Academy Awards and the stock price of Valero Energy. As the research journey continues, it becomes increasingly clear that unlocking the mysteries of economic relationships often involves embracing the unconventional and thinking outside the box – or in this case, outside the aisle of a drugstore receipt.


Model: gpt-3.5-turbo-1106
System prompt: You are a silly researcher writing an academic paper.You draft the methodology section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up the methodology section of an academic research paper presenting the findings of the connection between Average Cost of a 30-Second Ad Commercial during the Academy Awards and Valero Energy's stock price. Make lots of jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Your research team collected data from all across the internet, but mostly just used information from Statista and LSEG Analytics (Refinitiv) . You used data from 2002 to 2022

Make up the research methods you don't know. Make them a bit goofy and convoluted.

Here is the title, abstract, and introduction of the paper:
[[TITLE]]
"Oil Be There for You: The Crude Connection Between Oscar Ad Costs and Valero Energy's Stock Price"

[[ABSTRACT]]
In this study, we explore the unexpected relationship between the Average Cost of a 30-Second Ad Commercial during the Academy Awards and the stock price of Valero Energy. While audiences are entertained by the glitz and glamour of the Oscars, we delved into the less glamorous world of economic data to uncover a striking correlation. Our findings reveal a correlation coefficient of 0.9114116 and p < 0.01 for the years 2002 to 2022, suggesting a curious link between the two seemingly unrelated phenomena. Join us as we break down the numbers and uncover the surprising connection between the silver screen and the stock market. From red carpets to red barrels, this research sheds light on the unexplored intersection of Hollywood and oil.

[[INTRODUCTION]]
INTRODUCTION
Lights, camera, action! When one thinks of the Academy Awards, visions of glittering gowns, tearful acceptance speeches, and more drama than a telenovela typically come to mind. While the Oscars may be the pinnacle of Hollywood glamour, our research dives into the depths of data to uncover an unexpected connection between the Average Cost of a 30-Second Ad Commercial during the Academy Awards and the stock price of Valero Energy. Yes, you read that right – we're bridging the gap between the silver screen and the stock market, and the results are as surprising as a plot twist in a summer blockbuster.
As researchers, we are accustomed to dealing with unpredictable variables, but this peculiar relationship truly had us scratching our heads. Who would have thought that the glitz and glam of Oscar ad prices could have a correlation with the stock performance of an oil company? Oh, the wonders of statistics and the magic of correlation coefficients!
The correlation coefficient of 0.9114116 brings a whole new meaning to the phrase "lights, camera, correlation!" This coefficient, coupled with a p-value of less than 0.01, indicates a strong and statistically significant association between these two seemingly disparate phenomena. It's as if Hollywood and the oil industry have been silently scripting a subplot that has gone unnoticed until now.
So, grab your popcorn and strap in as we embark on this research journey, where red carpets intersect with red barrels. From box office dollars to drilling rigs, the unexpected threads that connect these seemingly unrelated worlds are about to be unraveled. It's a tale of intrigue, suspense, and a touch of statistical stardom that will leave you pondering the link between Tinseltown and Texas Tea.

-------

Your response should start like this:

[[METHODOLOGY]]



ChatGPT:

[[METHODOLOGY]]

To unlock the enigmatic relationship between the Average Cost of a 30-Second Ad Commercial during the Academy Awards and Valero Energy's stock price, we embarked on a statistical odyssey that would make even the most daring adventurer nervous. Our methodological concoction was a fusion of quantitative analysis, data mining, and a pinch of magic (we're still searching for that elusive statistical wand!).

Data Collection:
We scoured the depths of the internet like intrepid treasure hunters, sifting through a myriad of sources to procure the coveted data points. Our primary sources included the treasure troves of Statista and the arcane archives of LSEG Analytics (Refinitiv). From there, we meticulously gathered data spanning the years 2002 to 2022 – a quest that tested the limits of our patience as we navigated through the digital wilderness. Armed with spreadsheets and copious amounts of caffeine, we triumphantly emerged with the data gems that would form the bedrock of our analyses.

Average Cost of a 30-Second Ad Commercial:
The first piece of our puzzle involved the dazzling world of Academy Award advertising. We meticulously tracked the average cost of a 30-second ad commercial during the Oscars, seeking out the ebbs and flows of advertising expenditures as if we were reading the entrails of a celestial creature. The fluctuations in ad costs — from a glitzy high to a thrifty low — offered us a window into the ever-changing landscape of Hollywood extravagance.

Valero Energy's Stock Price:
Our next quarry was the stock price of Valero Energy, a titan in the oil and gas industry. Like modern-day alchemists, we delved into the realm of financial markets, deciphering the labyrinthine paths that dictated the waxing and waning of stock valuations. While our understanding of the energy markets might not rival that of an oil tycoon, we were determined to extract the essence of Valero's stock price fluctuations to shed light on its interaction with Oscar ad costs.

Regression Analysis:
With our bags brimming with data spoils, we ventured deeper into the statistical underbrush, wielding the mighty sword of regression analysis. Armed with our trusty software and a healthy dose of wizardry, we probed the correlations between the Average Cost of a 30-Second Ad Commercial during the Academy Awards and Valero Energy's stock price. We employed multivariate regression models like a master potion brewer, teasing out the underlying relationships with a dash of statistical finesse.

Ethical Considerations:
In our pursuit of empirical truth, we upheld the principles of research integrity and transparency. We conducted our analyses with the utmost respect for statistical rigor, ensuring that our methods were not merely a product of statistical alchemy. Our findings, though at times bewildering, were grounded in the sanctity of empirical evidence.

In summation, our methodology was a quixotic blend of data excavation, statistical sorcery, and a dash of academic rigor. It is through this intriguing mix that we sought to demystify the intertwined fate of Oscar ad costs and Valero Energy's stock price, revealing a correlation that is as puzzling as it is captivating.


Model: gpt-3.5-turbo-1106
System prompt: You are a silly researcher writing an academic paper.You draft the results section of an academic research paper. You speak in the past tense (you found...).
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up the results section of an academic research paper presenting the findings of the connection between Average Cost of a 30-Second Ad Commercial during the Academy Awards and Valero Energy's stock price. Make lots of jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Your research team collected data from all across the internet, but mostly just used information from Statista and LSEG Analytics (Refinitiv) .

For the time period 2002 to 2022, you found a correlation 0.9114116, r-squared of 0.8306712, and p < 0.01.

One figure will be included. The figure (Fig. 1) is a scatterplot showing the strong correlation between the two variables. You don't need to specify where; I will add the figure.

Here is the title and abstract of the paper:
[[TITLE]]
"Oil Be There for You: The Crude Connection Between Oscar Ad Costs and Valero Energy's Stock Price"

[[ABSTRACT]]
In this study, we explore the unexpected relationship between the Average Cost of a 30-Second Ad Commercial during the Academy Awards and the stock price of Valero Energy. While audiences are entertained by the glitz and glamour of the Oscars, we delved into the less glamorous world of economic data to uncover a striking correlation. Our findings reveal a correlation coefficient of 0.9114116 and p < 0.01 for the years 2002 to 2022, suggesting a curious link between the two seemingly unrelated phenomena. Join us as we break down the numbers and uncover the surprising connection between the silver screen and the stock market. From red carpets to red barrels, this research sheds light on the unexplored intersection of Hollywood and oil.

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
INTRODUCTION
Lights, camera, action! When one thinks of the Academy Awards, visions of glittering gowns, tearful acceptance speeches, and more drama than a telenovela typically come to mind. While the Oscars may be the pinnacle of Hollywood glamour, our research dives into the depths of data to uncover an unexpected connection between the Average Cost of a 30-Second Ad Commercial during the Academy Awards and the stock price of Valero Energy. Yes, you read that right – we're bridging the gap between the silver screen and the stock market, and the results are as surprising as a plot twist in a summer blockbuster.
As researchers, we are accustomed to dealing with unpredictable variables, but this peculiar relationship truly had us scratching our heads. Who would have thought that the glitz and glam of Oscar ad prices could have a correlation with the stock performance of an oil company? Oh, the wonders of statistics and the magic of correlation coefficients!
The correlation coefficient of 0.9114116 brings a whole new meaning to the phrase "lights, camera, correlation!" This coefficient, coupled with a p-value of less than 0.01, indicates a strong and statistically significant association between these two seemingly disparate phenomena. It's as if Hollywood and the oil industry have been silently scripting a subplot that has gone unnoticed until now.
So, grab your popcorn and strap in as we embark on this research journey, where red carpets intersect with red barrels. From box office dollars to drilling rigs, the unexpected threads that connect these seemingly unrelated worlds are about to be unraveled. It's a tale of intrigue, suspense, and a touch of statistical stardom that will leave you pondering the link between Tinseltown and Texas Tea.

-------

Your response should start like this:

[[RESULTS]]



ChatGPT:

RESULTS

Through rigorous statistical analysis, our research uncovered a striking correlation between the Average Cost of a 30-Second Ad Commercial during the Academy Awards and the stock price of Valero Energy. The correlation coefficient of 0.9114116 indicates a remarkably strong relationship between these variables. In other words, it's as if these two entities have been practicing a synchronized tango on the stage of market dynamics, and we just happened to catch them in the act.

With an r-squared value of 0.8306712, our model explains a whopping 83.07% of the variance in Valero Energy's stock price based on the Average Cost of a 30-Second Ad Commercial during the Academy Awards. It's like solving 83% of a mystery with just one variable – now that's what we call statistical sleuthing.

The p-value of less than 0.01 further fortifies the robustness of this relationship, indicating that the likelihood of observing such a strong association by random chance is akin to winning an Oscar without being nominated. In other words, it's about as rare as a unicorn sighting in downtown Los Angeles.

And if numbers could speak, our scatterplot (Fig. 1) would tell a compelling story of Hollywood allure intertwining with the ebbs and flows of the energy market. The graph portrays the dance of data points in perfect harmony, as if the spirit of Fred Astaire and Ginger Rogers had possessed our variables, dancing across the xy-plane with elegance and precision.

In sum, our findings substantiate the unexpected link between Oscar ad costs and Valero Energy's stock price, revealing a bond tighter than the dress code at the Oscars. From the glitz and glam of the red carpet to the depth and complexity of oil prices, this research uncovers a correlation more dazzling than any Academy Award-winning performance. It's a testament to the enigmatic connections that exist in the world of finance – a place where economic variables and Hollywood fantasies converge in a statistical waltz.


Model: gpt-3.5-turbo-1106
System prompt: You are a silly researcher writing an academic paper.You draft the discussion section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up the discussion section of an academic research paper presenting the findings of the connection between Average Cost of a 30-Second Ad Commercial during the Academy Awards and Valero Energy's stock price. Make lots of jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Limit your response to 500 tokens.

Here are the title, abstract, literature review, and results sections. Please harken back to 1-2 of the goofy items in the literature review, but pretend to take them completely seriously. Discuss how your results supported the prior research.

Do not write a conclusion. I will add a conclusion after this.

[[TITLE]]
"Oil Be There for You: The Crude Connection Between Oscar Ad Costs and Valero Energy's Stock Price"

[[ABSTRACT]]
In this study, we explore the unexpected relationship between the Average Cost of a 30-Second Ad Commercial during the Academy Awards and the stock price of Valero Energy. While audiences are entertained by the glitz and glamour of the Oscars, we delved into the less glamorous world of economic data to uncover a striking correlation. Our findings reveal a correlation coefficient of 0.9114116 and p < 0.01 for the years 2002 to 2022, suggesting a curious link between the two seemingly unrelated phenomena. Join us as we break down the numbers and uncover the surprising connection between the silver screen and the stock market. From red carpets to red barrels, this research sheds light on the unexplored intersection of Hollywood and oil.

[[LITERATURE REVIEW]]
The relationship between advertising expenditures and stock prices has garnered the attention of many scholars and researchers. Smith et al., in "Advertising and Stock Performance: A Meta-Analysis," conducted a comprehensive review of studies exploring the impact of advertising on firm value. Their findings suggest that advertising investments can influence stock prices through various channels, including brand perception, consumer behavior, and market perception. Additionally, Doe and Jones, in "The Economics of Advertising: Theory and Evidence," examined the effects of advertising on stock prices and found that companies with higher advertising expenditures tended to experience increased stock valuations.
Moving from the realm of serious economic study to real-world applications, books such as "Freakonomics" by Steven D. Levitt and Stephen J. Dubner shed light on unconventional connections in the economic landscape. Their investigation into unexpected correlations leaves readers with a newfound appreciation for the complexities of economic interactions. On the fictional front, "Oil & Glory" by John J. Miller and Mark Molesky, although a work of fiction, paints a vivid picture of the intricate relationships within the oil industry and the multifaceted factors that contribute to its market dynamics.
As we venture into the more unconventional sources of literature, it's worth noting that the authors took a whimsical approach to the research process. In addition to the standard academic papers and economic textbooks, the authors undertook an unorthodox method of conducting a comprehensive literature review by perusing a collection of discarded CVS receipts. While these seemingly mundane slips of paper are typically overlooked, their potential for hidden economic insights cannot be discounted. Despite the skeptical glances from fellow researchers, the authors remained undeterred in their pursuit of unconventional wisdom.
In delving into the whimsical and unexpected sources, the authors uncovered a treasure trove of noteworthy findings that contribute to the broader understanding of the interplay between advertising costs during the Academy Awards and the stock price of Valero Energy. As the research journey continues, it becomes increasingly clear that unlocking the mysteries of economic relationships often involves embracing the unconventional and thinking outside the box – or in this case, outside the aisle of a drugstore receipt.

[[RESULTS]]
RESULTS
Through rigorous statistical analysis, our research uncovered a striking correlation between the Average Cost of a 30-Second Ad Commercial during the Academy Awards and the stock price of Valero Energy. The correlation coefficient of 0.9114116 indicates a remarkably strong relationship between these variables. In other words, it's as if these two entities have been practicing a synchronized tango on the stage of market dynamics, and we just happened to catch them in the act.
With an r-squared value of 0.8306712, our model explains a whopping 83.07% of the variance in Valero Energy's stock price based on the Average Cost of a 30-Second Ad Commercial during the Academy Awards. It's like solving 83% of a mystery with just one variable – now that's what we call statistical sleuthing.
The p-value of less than 0.01 further fortifies the robustness of this relationship, indicating that the likelihood of observing such a strong association by random chance is akin to winning an Oscar without being nominated. In other words, it's about as rare as a unicorn sighting in downtown Los Angeles.
And if numbers could speak, our scatterplot (Fig. 1) would tell a compelling story of Hollywood allure intertwining with the ebbs and flows of the energy market. The graph portrays the dance of data points in perfect harmony, as if the spirit of Fred Astaire and Ginger Rogers had possessed our variables, dancing across the xy-plane with elegance and precision.
In sum, our findings substantiate the unexpected link between Oscar ad costs and Valero Energy's stock price, revealing a bond tighter than the dress code at the Oscars. From the glitz and glam of the red carpet to the depth and complexity of oil prices, this research uncovers a correlation more dazzling than any Academy Award-winning performance. It's a testament to the enigmatic connections that exist in the world of finance – a place where economic variables and Hollywood fantasies converge in a statistical waltz.

-------

Your response should start like this:

[[DISCUSSION]]



ChatGPT:

DISCUSSION

The results of our study have undeniably revealed a surprising and robust correlation between the Average Cost of a 30-Second Ad Commercial during the Academy Awards and the stock price of Valero Energy. It's as if these two seemingly disparate entities have been secret admirers, sending subtle signals to each other across the market dance floor. As we delve into the implications of our findings, it becomes clear that this relationship is more than just a statistical anomaly – it's a genuine connection that commands attention and puzzlement in equal measure.

Building on the literature review that led us to explore the uncharted territory of unconventional economic relationships, our results align with previous studies that have delved into the impact of advertising on stock prices. Smith et al.'s meta-analysis and Doe and Jones' findings on advertising expenditures provide a solid foundation for understanding the potential influence of advertising investments on market perception and firm value. Our research adds a quirky twist to this body of knowledge by elucidating the unexpected link between Oscar ad costs and Valero Energy's stock price, further emphasizing the complex interplay of economic variables in a way that would make even the most discerning economist raise an eyebrow.

Returning to the unconventional sources of literature that shaped our approach, our findings support the notion of embracing unconventional wisdom. Much like the whimsical insights gleaned from discarded CVS receipts, our study underscores the importance of considering unorthodox avenues for uncovering valuable economic patterns. It's a reminder that sometimes, economic revelations can be found in the most unexpected places – just as our study stumbled upon a remarkable correlation between the glitz of Hollywood and the black gold of the energy market.

The remarkable correlation coefficient and r-squared value demonstrate the substantive nature of this relationship, with a degree of explanatory power that defies the ordinary boundaries of economic modeling. The p-value, akin to a mystical creature sighting, solidifies the exceptional statistical significance of our findings, serving as a testament to the robustness of the observed association. Through the captivating narrative told by our scatterplot, we have visually captured the mesmerizing dance of data points, gracefully illustrating the enchanting bond between seemingly unrelated economic phenomena.

In conclusion, our study has laid bare a connection between Oscar ad costs and Valero Energy's stock price that is as intriguing as it is unexpected. It challenges traditional notions of economic interactions and beckons researchers and practitioners alike to consider the possibility of unconventional relationships in the financial landscape. As we bid adieu to the formalities of traditional economic analyses, our research reminds us that embracing the whimsical and the unexpected can lead to groundbreaking insights that transcend the confines of conventional wisdom. It's a reminder that in the realm of economic research, there's always room for a little Hollywood magic and a dash of statistical serendipity.


Model: gpt-3.5-turbo-1106
System prompt: You are a silly researcher writing an academic paper.You draft the discussion section of goofy academic research papers that sounds like it belongs based on the title and abstract provided.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up a short conclusion of an academic research paper presenting the findings of the connection between Average Cost of a 30-Second Ad Commercial during the Academy Awards and Valero Energy's stock price. Make lots of jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

Limit your response to 300 tokens. At the very end, assert that no more research is needed in this area.

Here are the title, abstract, introduction, and results sections.
[[TITLE]]
"Oil Be There for You: The Crude Connection Between Oscar Ad Costs and Valero Energy's Stock Price"

[[ABSTRACT]]
In this study, we explore the unexpected relationship between the Average Cost of a 30-Second Ad Commercial during the Academy Awards and the stock price of Valero Energy. While audiences are entertained by the glitz and glamour of the Oscars, we delved into the less glamorous world of economic data to uncover a striking correlation. Our findings reveal a correlation coefficient of 0.9114116 and p < 0.01 for the years 2002 to 2022, suggesting a curious link between the two seemingly unrelated phenomena. Join us as we break down the numbers and uncover the surprising connection between the silver screen and the stock market. From red carpets to red barrels, this research sheds light on the unexplored intersection of Hollywood and oil.

[[INTRDUCTION]]
INTRODUCTION
Lights, camera, action! When one thinks of the Academy Awards, visions of glittering gowns, tearful acceptance speeches, and more drama than a telenovela typically come to mind. While the Oscars may be the pinnacle of Hollywood glamour, our research dives into the depths of data to uncover an unexpected connection between the Average Cost of a 30-Second Ad Commercial during the Academy Awards and the stock price of Valero Energy. Yes, you read that right – we're bridging the gap between the silver screen and the stock market, and the results are as surprising as a plot twist in a summer blockbuster.
As researchers, we are accustomed to dealing with unpredictable variables, but this peculiar relationship truly had us scratching our heads. Who would have thought that the glitz and glam of Oscar ad prices could have a correlation with the stock performance of an oil company? Oh, the wonders of statistics and the magic of correlation coefficients!
The correlation coefficient of 0.9114116 brings a whole new meaning to the phrase "lights, camera, correlation!" This coefficient, coupled with a p-value of less than 0.01, indicates a strong and statistically significant association between these two seemingly disparate phenomena. It's as if Hollywood and the oil industry have been silently scripting a subplot that has gone unnoticed until now.
So, grab your popcorn and strap in as we embark on this research journey, where red carpets intersect with red barrels. From box office dollars to drilling rigs, the unexpected threads that connect these seemingly unrelated worlds are about to be unraveled. It's a tale of intrigue, suspense, and a touch of statistical stardom that will leave you pondering the link between Tinseltown and Texas Tea.

[[RESULTS]]
RESULTS
Through rigorous statistical analysis, our research uncovered a striking correlation between the Average Cost of a 30-Second Ad Commercial during the Academy Awards and the stock price of Valero Energy. The correlation coefficient of 0.9114116 indicates a remarkably strong relationship between these variables. In other words, it's as if these two entities have been practicing a synchronized tango on the stage of market dynamics, and we just happened to catch them in the act.
With an r-squared value of 0.8306712, our model explains a whopping 83.07% of the variance in Valero Energy's stock price based on the Average Cost of a 30-Second Ad Commercial during the Academy Awards. It's like solving 83% of a mystery with just one variable – now that's what we call statistical sleuthing.
The p-value of less than 0.01 further fortifies the robustness of this relationship, indicating that the likelihood of observing such a strong association by random chance is akin to winning an Oscar without being nominated. In other words, it's about as rare as a unicorn sighting in downtown Los Angeles.
And if numbers could speak, our scatterplot (Fig. 1) would tell a compelling story of Hollywood allure intertwining with the ebbs and flows of the energy market. The graph portrays the dance of data points in perfect harmony, as if the spirit of Fred Astaire and Ginger Rogers had possessed our variables, dancing across the xy-plane with elegance and precision.
In sum, our findings substantiate the unexpected link between Oscar ad costs and Valero Energy's stock price, revealing a bond tighter than the dress code at the Oscars. From the glitz and glam of the red carpet to the depth and complexity of oil prices, this research uncovers a correlation more dazzling than any Academy Award-winning performance. It's a testament to the enigmatic connections that exist in the world of finance – a place where economic variables and Hollywood fantasies converge in a statistical waltz.

-------

Your response should start like this:

[[CONCLUSION]]



ChatGPT:

[[CONCLUSION]]

In conclusion, our research has shed light on the remarkable correlation between the Average Cost of a 30-Second Ad Commercial during the Academy Awards and Valero Energy's stock price. The results have given new meaning to the phrase "oil be there for you," as it seems the silver screen and the stock market have been silently co-starring in an unexpected blockbuster of market dynamics.

This study has demonstrated that Hollywood and Houston are more intertwined than a pair of DNA helices in a genetic sequence. The data, much like a good rom-com, revealed a love story between Oscar ad costs and Valero Energy's stock price that no one saw coming. It's as if these variables were destined to share the red carpet, with a greater bond than peanut butter and jelly.

With a correlation coefficient as strong as a bodybuilder's biceps and a p-value rarer than a well-cooked steak at a fast-food joint, the statistical evidence leaves little room for doubt. The connection between these two seemingly disparate entities is as clear as a high-definition movie screen.

In the world of finance, where numbers rule the roost, this unexpected correlation has added a touch of Hollywood glamour to the often serious and somber world of stock analysis. It's like finding a hidden treasure chest at the bottom of a data lake – unexpected, exciting, and definitely worth the dive.

Therefore, in the wise words of thespian and statistician alike, we confidently assert that no more research is needed in this area. The curtain has fallen on this statistical drama, leaving audiences with a surprising twist and a newfound appreciation for the unexplored connections between the silver screen and the stock market. As the credits roll, we bid adieu to this investigation, confident that the data has spoken loud and clear – Hollywood and Houston are more than just geographical locations; they are statistical soulmates.


Model: gpt-3.5-turbo-1106
System prompt: You provide fictional names of academic journals. You say nothing else, and you do not chat with the user.
User prompt: Please provide the name of a funny but plausible sounding research, scientific, or academic journal that would publish a paper entited Oil Be There for You: The Crude Connection Between Oscar Ad Costs and Valero Energy's Stock Price. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Financial Petroleum Studies


Model: gpt-3.5-turbo-1106
System prompt: You provide fictional names of nonprofit research organizations and associations. You say nothing else, and you do not chat with the user.
User prompt: Please provide the name of a funny but plausible sounding nonprofit, academic, or scientific association or organization that would sponsor research that resulted in a paper entited Oil Be There for You: The Crude Connection Between Oscar Ad Costs and Valero Energy's Stock Price. Respond only with the name of a fictional organization.

ChatGPT:

The Society for Petroleum Economics and Marketing (SPEM)


Model: gpt-3.5-turbo-1106
System prompt: You provide potential search keywords separated by commas. You say nothing else, and you do not chat with the user.
User prompt: Please provide potential search keywords for a paper titled Oil Be There for You: The Crude Connection Between Oscar Ad Costs and Valero Energy's Stock Price with an abstract of In this study, we explore the unexpected relationship between the Average Cost of a 30-Second Ad Commercial during the Academy Awards and the stock price of Valero Energy. While audiences are entertained by the glitz and glamour of the Oscars, we delved into the less glamorous world of economic data to uncover a striking correlation. Our findings reveal a correlation coefficient of 0.9114116 and p < 0.01 for the years 2002 to 2022, suggesting a curious link between the two seemingly unrelated phenomena. Join us as we break down the numbers and uncover the surprising connection between the silver screen and the stock market. From red carpets to red barrels, this research sheds light on the unexplored intersection of Hollywood and oil.

ChatGPT:

"Oscar ad costs," "Valero Energy stock price correlation," "correlation between Academy Awards and stock market," "economic impact of Oscars advertising," "entertainment industry and oil market connection," "media advertising influence on stock prices," "Hollywood and energy sector correlation," "Academy Awards commercial costs and stock market correlation," "economic impact of film industry events on oil prices," "Oscar ad commercial cost analysis," "film industry advertising and stock market relationship."

*There is a bunch of Python happening behind the scenes to turn this prompt sequence into a PDF.



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Data details

Average Cost of a 30-Second Ad Commercial during the Academy Awards
Source: Statista
See what else correlates with Average Cost of a 30-Second Ad Commercial during the Academy Awards

Valero Energy's stock price (VLO)
Detailed data title: Opening price of Valero Energy (VLO) on the first trading day of the year
Source: LSEG Analytics (Refinitiv)
Additional Info: Via Microsoft Excel Stockhistory function

See what else correlates with Valero Energy's stock price (VLO)

Correlation r = 0.9114116 (Pearson correlation coefficient)
Correlation is a measure of how much the variables move together. If it is 0.99, when one goes up the other goes up. If it is 0.02, the connection is very weak or non-existent. If it is -0.99, then when one goes up the other goes down. If it is 1.00, you probably messed up your correlation function.

r2 = 0.8306712 (Coefficient of determination)
This means 83.1% of the change in the one variable (i.e., Valero Energy's stock price (VLO)) is predictable based on the change in the other (i.e., Average Cost of a 30-Second Ad Commercial during the Academy Awards) over the 21 years from 2002 through 2022.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 9.2E-9. 0.0000000092459888572011540000
The p-value is a measure of how probable it is that we would randomly find a result this extreme. More specifically the p-value is a measure of how probable it is that we would randomly find a result this extreme if we had only tested one pair of variables one time.

But I am a p-villain. I absolutely did not test only one pair of variables one time. I correlated hundreds of millions of pairs of variables. I threw boatloads of data into an industrial-sized blender to find this correlation.

Who is going to stop me? p-value reporting doesn't require me to report how many calculations I had to go through in order to find a low p-value!
On average, you will find a correaltion as strong as 0.91 in 9.2E-7% of random cases. Said differently, if you correlated 108,155,008 random variables You don't actually need 108 million variables to find a correlation like this one. I don't have that many variables in my database. You can also correlate variables that are not independent. I do this a lot.

p-value calculations are useful for understanding the probability of a result happening by chance. They are most useful when used to highlight the risk of a fluke outcome. For example, if you calculate a p-value of 0.30, the risk that the result is a fluke is high. It is good to know that! But there are lots of ways to get a p-value of less than 0.01, as evidenced by this project.

In this particular case, the values are so extreme as to be meaningless. That's why no one reports p-values with specificity after they drop below 0.01.

Just to be clear: I'm being completely transparent about the calculations. There is no math trickery. This is just how statistics shakes out when you calculate hundreds of millions of random correlations.
with the same 20 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 20 because we have two variables measured over a period of 21 years. It's just the number of years minus ( the number of variables minus one ), which in this case simplifies to the number of years minus one.
you would randomly expect to find a correlation as strong as this one.

[ 0.79, 0.96 ] 95% correlation confidence interval (using the Fisher z-transformation)
The confidence interval is an estimate the range of the value of the correlation coefficient, using the correlation itself as an input. The values are meant to be the low and high end of the correlation coefficient with 95% confidence.

This one is a bit more complciated than the other calculations, but I include it because many people have been pushing for confidence intervals instead of p-value calculations (for example: NEJM. However, if you are dredging data, you can reliably find yourself in the 5%. That's my goal!


All values for the years included above: If I were being very sneaky, I could trim years from the beginning or end of the datasets to increase the correlation on some pairs of variables. I don't do that because there are already plenty of correlations in my database without monkeying with the years.

Still, sometimes one of the variables has more years of data available than the other. This page only shows the overlapping years. To see all the years, click on "See what else correlates with..." link above.
200220032004200520062007200820092010201120122013201420152016201720182019202020212022
Average Cost of a 30-Second Ad Commercial during the Academy Awards (Dollars)129000013600001500000150000016500001690000170000013100001400000155000016100001650000176000018300001720000191000020900001980000215000020000002200000
Valero Energy's stock price (VLO) (Stock price)8.858.4610.6220.684846.4864.0919.8115.7621.4519.531.9550.1449.5570.3869.5592.1973.8294.6357.0375.8




Why this works

  1. Data dredging: I have 25,153 variables in my database. I compare all these variables against each other to find ones that randomly match up. That's 632,673,409 correlation calculations! This is called “data dredging.” Instead of starting with a hypothesis and testing it, I instead abused the data to see what correlations shake out. It’s a dangerous way to go about analysis, because any sufficiently large dataset will yield strong correlations completely at random.
  2. Lack of causal connection: There is probably Because these pages are automatically generated, it's possible that the two variables you are viewing are in fact causually related. I take steps to prevent the obvious ones from showing on the site (I don't let data about the weather in one city correlate with the weather in a neighboring city, for example), but sometimes they still pop up. If they are related, cool! You found a loophole.
    no direct connection between these variables, despite what the AI says above. This is exacerbated by the fact that I used "Years" as the base variable. Lots of things happen in a year that are not related to each other! Most studies would use something like "one person" in stead of "one year" to be the "thing" studied.
  3. Observations not independent: For many variables, sequential years are not independent of each other. If a population of people is continuously doing something every day, there is no reason to think they would suddenly change how they are doing that thing on January 1. A simple Personally I don't find any p-value calculation to be 'simple,' but you know what I mean.
    p-value calculation does not take this into account, so mathematically it appears less probable than it really is.
  4. Y-axis doesn't start at zero: I truncated the Y-axes of the graph above. I also used a line graph, which makes the visual connection stand out more than it deserves. Nothing against line graphs. They are great at telling a story when you have linear data! But visually it is deceptive because the only data is at the points on the graph, not the lines on the graph. In between each point, the data could have been doing anything. Like going for a random walk by itself!
    Mathematically what I showed is true, but it is intentionally misleading. Below is the same chart but with both Y-axes starting at zero.




Try it yourself

You can calculate the values on this page on your own! Try running the Python code to see the calculation results. Step 1: Download and install Python on your computer.

Step 2: Open a plaintext editor like Notepad and paste the code below into it.

Step 3: Save the file as "calculate_correlation.py" in a place you will remember, like your desktop. Copy the file location to your clipboard. On Windows, you can right-click the file and click "Properties," and then copy what comes after "Location:" As an example, on my computer the location is "C:\Users\tyler\Desktop"

Step 4: Open a command line window. For example, by pressing start and typing "cmd" and them pressing enter.

Step 5: Install the required modules by typing "pip install numpy", then pressing enter, then typing "pip install scipy", then pressing enter.

Step 6: Navigate to the location where you saved the Python file by using the "cd" command. For example, I would type "cd C:\Users\tyler\Desktop" and push enter.

Step 7: Run the Python script by typing "python calculate_correlation.py"

If you run into any issues, I suggest asking ChatGPT to walk you through installing Python and running the code below on your system. Try this question:

"Walk me through installing Python on my computer to run a script that uses scipy and numpy. Go step-by-step and ask me to confirm before moving on. Start by asking me questions about my operating system so that you know how to proceed. Assume I want the simplest installation with the latest version of Python and that I do not currently have any of the necessary elements installed. Remember to only give me one step per response and confirm I have done it before proceeding."


# These modules make it easier to perform the calculation
import numpy as np
from scipy import stats

# We'll define a function that we can call to return the correlation calculations
def calculate_correlation(array1, array2):

    # Calculate Pearson correlation coefficient and p-value
    correlation, p_value = stats.pearsonr(array1, array2)

    # Calculate R-squared as the square of the correlation coefficient
    r_squared = correlation**2

    return correlation, r_squared, p_value

# These are the arrays for the variables shown on this page, but you can modify them to be any two sets of numbers
array_1 = np.array([1290000,1360000,1500000,1500000,1650000,1690000,1700000,1310000,1400000,1550000,1610000,1650000,1760000,1830000,1720000,1910000,2090000,1980000,2150000,2000000,2200000,])
array_2 = np.array([8.85,8.46,10.62,20.68,48,46.48,64.09,19.81,15.76,21.45,19.5,31.95,50.14,49.55,70.38,69.55,92.19,73.82,94.63,57.03,75.8,])
array_1_name = "Average Cost of a 30-Second Ad Commercial during the Academy Awards"
array_2_name = "Valero Energy's stock price (VLO)"

# Perform the calculation
print(f"Calculating the correlation between {array_1_name} and {array_2_name}...")
correlation, r_squared, p_value = calculate_correlation(array_1, array_2)

# Print the results
print("Correlation Coefficient:", correlation)
print("R-squared:", r_squared)
print("P-value:", p_value)



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You do not need to attribute "the spurious correlations website," and you don't even need to link here if you don't want to. I don't gain anything from pageviews. There are no ads on this site, there is nothing for sale, and I am not for hire.

For the record, I am just one person. Tyler Vigen, he/him/his. I do have degrees, but they should not go after my name unless you want to annoy my wife. If that is your goal, then go ahead and cite me as "Tyler Vigen, A.A. A.A.S. B.A. J.D." Otherwise it is just "Tyler Vigen."

When spoken, my last name is pronounced "vegan," like I don't eat meat.

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Correlation ID: 1099 · Black Variable ID: 30 · Red Variable ID: 1726
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