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Spurious correlation #3,333 · View random

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is The number of manicurists and pedicurists in Nevada and the second variable is Tesla's stock price (TSLA).  The chart goes from 2011 to 2022, and the two variables track closely in value over that time. Small Image
Download png
, svg

AI explanation

As the demand for perfectly manicured and polished nails in Nevada rose, more and more people became mesmerized by the sight of their own hands and feet. This led to increased hand gesturing and foot tapping, generating a surge in kinetic energy across the state. Little did anyone know, this unintentional exercise in Nevada was collectively creating a minuscule but measurable impact on the Earth's geomagnetic field. Unbeknownst to humanity, these subtle magnetic fluctuations began to align with the production processes at Tesla's Gigafactory, ever so slightly optimizing the efficiency and output of their electric vehicles. This unprecedented convergence of beauty and electromagnetism not only fueled the literal rise of Tesla's stock price on the market but also sparked a new era of 'manipedi'-powered renewable energy technology.

Model: dalle-3
Prompt: Generate an image of a futuristic salon in the heart of Nevada, where manicurists and pedicurists are busily tending to their clients, surrounded by vibrant nail polish palettes. In the background, incorporate a subtle representation of Tesla's stock price chart steadily rising, symbolizing the intersection of self-care and technology as investor excitement grows over the surge in electric vehicle demand. The scene should exude a sci-fi fantasy vibe, with sleek, modern salon decor and a hint of futuristic elements to reflect the evolving landscape of consumer trends. 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 variables described. You respond only with the scene descriptions provided and say nothing else.
User prompt: Here are two variables: The number of manicurists and pedicurists in Nevada and Tesla's stock price (TSLA). Given these, which of the following image style descriptions seems most appropriate? Pick the one that seems to be related to one of the variables at hand. Please respond with only one of the following potential descriptions: 3D Pixar Style a meme Sci-fi fantacy inspired by bauhaus Cute cartoon
ChatGPT: Sci-fi fantasy

Model: gpt-3.5-turbo-1106
System prompt: You describe simple visual scenes that depict the two variables stated. You combine both variables into one scene.
User prompt: Please describe a visual scene that prominently depicts both The number of manicurists and pedicurists in Nevada and Tesla's stock price (TSLA), in the following situation: Because more manicurists and pedicurists were hired in Nevada, leading to an increase in the demand for nail polish. Tesla's stock price increased because investors saw this as a sign that people in Nevada were getting "revved up" about self-care, and they predicted a surge in demand for electric vehicles, including Tesla's, as people who were feeling good about their manicures and pedicures wanted to show off their nails while driving.. Keep the description simple.
ChatGPT: A row of manicurists and pedicurists bustling in a Nevada salon, showcasing colorful nail polish palettes as Tesla's stock price chart rises steadily in the background, reflecting investor excitement over the increase in self-care enthusiasm and the anticipated surge in electric vehicle demand.

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: [ Sci-fi fantasy ] and depicting this scene: A row of manicurists and pedicurists bustling in a Nevada salon, showcasing colorful nail polish palettes as Tesla's stock price chart rises steadily in the background, reflecting investor excitement over the increase in self-care enthusiasm and the anticipated surge in electric vehicle demand. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image of a futuristic salon in the heart of Nevada, where manicurists and pedicurists are busily tending to their clients, surrounded by vibrant nail polish palettes. In the background, incorporate a subtle representation of Tesla's stock price chart steadily rising, symbolizing the intersection of self-care and technology as investor excitement grows over the surge in electric vehicle demand. The scene should exude a sci-fi fantasy vibe, with sleek, modern salon decor and a hint of futuristic elements to reflect the evolving landscape of consumer trends.

*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 The number of manicurists and pedicurists in Nevada caused Tesla's stock price (TSLA) to increase.\Make it sound serious until the end.

AI academic paper

(Because p < 0.01)
Polish-ing the Market: The Mani-Pedi Connection to Tesla's Stock Price in Nevada

Journal of Cosmetic Finance

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 witty academic researcher. Your writing sounds like it belongs in a statistics journal.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 The number of manicurists and pedicurists in Nevada and Tesla's stock price (TSLA). You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.

Make the title a clever pun.

Your research team used data from Bureau of Larbor Statistics and LSEG Analytics (Refinitiv) to assess this nagging question. You found a correlation coefficient of 0.9479954 and p < 0.01 for 2011 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]]
Polish-ing the Market: The Mani-Pedi Connection to Tesla's Stock Price in Nevada

[[ABSTRACT]]
This study dives into the uncharted waters of the beauty industry to investigate the surprising influence of the number of manicurists and pedicurists in Nevada on Tesla's stock price (TSLA). By combing through data obtained from the Bureau of Labor Statistics and LSEG Analytics (Refinitiv) spanning from 2011 to 2022, our research team aimed to shell-acquaint this seemingly unrelated pair.

We discovered a striking correlation coefficient of 0.9479954 and p < 0.01, indicating a highly significant relationship between the aforementioned variables. This finding suggests that the activities of our nail artists may indeed have an impact on the flux and flow of Tesla's stock price. This discovery leaves us pondering: are mani-pedis the secret sauce to understanding market trends?

As we crunch our numbers, one might even dare to say that these beauty professionals hold the key to unlocking the mysteries of the stock market. Here we thought it was all about supply and demand, but it turns out, maybe it's all about supply and *nail demand*. Just imagine the nail-biting suspense!


Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.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 The number of manicurists and pedicurists in Nevada and Tesla's stock price (TSLA). You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Stay serious and dry most of the time, but then occasionally let your wit shine through.

Here is the title and abstract of the paper:
[[TITLE]]
Polish-ing the Market: The Mani-Pedi Connection to Tesla's Stock Price in Nevada

[[ABSTRACT]]
This study dives into the uncharted waters of the beauty industry to investigate the surprising influence of the number of manicurists and pedicurists in Nevada on Tesla's stock price (TSLA). By combing through data obtained from the Bureau of Labor Statistics and LSEG Analytics (Refinitiv) spanning from 2011 to 2022, our research team aimed to shell-acquaint this seemingly unrelated pair.

We discovered a striking correlation coefficient of 0.9479954 and p < 0.01, indicating a highly significant relationship between the aforementioned variables. This finding suggests that the activities of our nail artists may indeed have an impact on the flux and flow of Tesla's stock price. This discovery leaves us pondering: are mani-pedis the secret sauce to understanding market trends?

As we crunch our numbers, one might even dare to say that these beauty professionals hold the key to unlocking the mysteries of the stock market. Here we thought it was all about supply and demand, but it turns out, maybe it's all about supply and *nail demand*. Just imagine the nail-biting suspense!

-------

Your response should start like this:

[[INTRODUCTION]]



ChatGPT:
[[INTRODUCTION]]

The relationship between seemingly unrelated variables in the stock market has always been a subject of fascination and curiosity among researchers and investors alike. While traditional economic theories focus on factors such as interest rates, GDP, and corporate earnings, our study delves into a unique and unconventional factor: the number of manicurists and pedicurists in the state of Nevada, and its connection to the stock price of Tesla (TSLA).

As the saying goes, "two things in life are certain: stock market volatility and the need for a good manicure." In this light-hearted investigation, we aim to shine a light on the unexplored potential influence of the beauty industry on stock market trends. We are not just here to "nail" correlations – we are aiming to "polish" our understanding of market dynamics and embrace a "hands-on" approach to identifying unusual drivers of stock price movements.

While some may be quick to dismiss the idea of nail technicians influencing stock prices, our analysis of data from the Bureau of Labor Statistics and LSEG Analytics (Refinitiv) has revealed some compelling insights. Upon analyzing the data spanning from 2011 to 2022, we were "mani-certain" that there was more to this industry than meets the eye. It's almost as if there's a "polished" relationship hiding just beneath the surface.


Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.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 The number of manicurists and pedicurists in Nevada and Tesla's stock price (TSLA). You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.

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 name some movies that you watched that are tangentially related to the topic.

Here is the title and abstract of the paper:
[[TITLE]]
Polish-ing the Market: The Mani-Pedi Connection to Tesla's Stock Price in Nevada

[[ABSTRACT]]
This study dives into the uncharted waters of the beauty industry to investigate the surprising influence of the number of manicurists and pedicurists in Nevada on Tesla's stock price (TSLA). By combing through data obtained from the Bureau of Labor Statistics and LSEG Analytics (Refinitiv) spanning from 2011 to 2022, our research team aimed to shell-acquaint this seemingly unrelated pair.

We discovered a striking correlation coefficient of 0.9479954 and p < 0.01, indicating a highly significant relationship between the aforementioned variables. This finding suggests that the activities of our nail artists may indeed have an impact on the flux and flow of Tesla's stock price. This discovery leaves us pondering: are mani-pedis the secret sauce to understanding market trends?

As we crunch our numbers, one might even dare to say that these beauty professionals hold the key to unlocking the mysteries of the stock market. Here we thought it was all about supply and demand, but it turns out, maybe it's all about supply and *nail demand*. Just imagine the nail-biting suspense!

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The relationship between seemingly unrelated variables in the stock market has always been a subject of fascination and curiosity among researchers and investors alike. While traditional economic theories focus on factors such as interest rates, GDP, and corporate earnings, our study delves into a unique and unconventional factor: the number of manicurists and pedicurists in the state of Nevada, and its connection to the stock price of Tesla (TSLA).
As the saying goes, "two things in life are certain: stock market volatility and the need for a good manicure." In this light-hearted investigation, we aim to shine a light on the unexplored potential influence of the beauty industry on stock market trends. We are not just here to "nail" correlations – we are aiming to "polish" our understanding of market dynamics and embrace a "hands-on" approach to identifying unusual drivers of stock price movements.
While some may be quick to dismiss the idea of nail technicians influencing stock prices, our analysis of data from the Bureau of Labor Statistics and LSEG Analytics (Refinitiv) has revealed some compelling insights. Upon analyzing the data spanning from 2011 to 2022, we were "mani-certain" that there was more to this industry than meets the eye. It's almost as if there's a "polished" relationship hiding just beneath the surface.

-------

Your response should start like this:

[[LITERATURE REVIEW]]



ChatGPT:
[[LITERATURE REVIEW]]

Several academic studies have sought to unravel the intricate web of relationships in the stock market, considering factors ranging from fiscal policies to global market trends. However, little attention has been paid to the potential impact of the beauty industry on stock prices. In "Nail Artist Quarterly," Smith et al. investigate the role of nail technicians in the Shakespearean drama of market dynamics, uncovering unexpected correlations and potential influence on stock prices. This research sets the stage for our own inquiry into the connection between the number of manicurists and pedicurists in Nevada and Tesla's stock price (TSLA).

As we venture into uncharted territory, it is essential to consider the broader implications of our findings. In "The Big Book of Market Mysteries" by John Doe, the author sheds light on unconventional factors that may sway stock prices, inviting readers to challenge traditional assumptions and explore the obscure corners of market influences. Our study takes a leaf from this book, aiming to demystify the relationship between the beauty industry and stock market dynamics.

Turning the pages to a different genre, we find "The Art of Nail-gebra: Finding X through Manicures" by Ann Jones, a lighthearted exploration of mathematical concepts intertwined with the world of nail art. While the book may seem whimsical at first glance, the intersection of nail techniques and economic trends becomes a focal point of discussion, offering unexpected parallels to our own investigation.

In a more speculative vein, we look to the realm of fiction for inspiration. In "Nails of Fortune" by Financial Fiction Award winner Lisa Stockton, the protagonist uncovers a mysterious link between her nail salon and the rise and fall of stock prices, embarking on a thrilling journey to decode the enigmatic connection. While our study may not unravel such dramatic narratives, the parallels are undeniable.

On a cinematic note, the blockbuster hit "The Nail Files" tells the story of a group of nail technicians whose unforeseen actions send ripples through the stock market, captivating audiences with its blend of intrigue and humor. While our research may lack the silver screen glamour, the parallels are too tantalizing to ignore.

As we delve into these unconventional sources, one thing becomes clear: the influence of manicurists and pedicurists on market trends may be more than just skin-deep. With our findings shedding light on this unexpected correlation, we aim to bring a touch of humor and wit to the typically serious world of financial research. After all, who knew that the well-manicured hands of Nevada's nail artists could hold the key to understanding Tesla's stock price movements? It's a toe-tally unexpected twist in the market narrative!


Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.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 The number of manicurists and pedicurists in Nevada and Tesla's stock price (TSLA). You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Stay serious and dry most of the time, but then occasionally let your wit shine through.

Your research team collected data from all across the internet, but mostly just used information from Bureau of Larbor Statistics and LSEG Analytics (Refinitiv) . You used data from 2011 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]]
Polish-ing the Market: The Mani-Pedi Connection to Tesla's Stock Price in Nevada

[[ABSTRACT]]
This study dives into the uncharted waters of the beauty industry to investigate the surprising influence of the number of manicurists and pedicurists in Nevada on Tesla's stock price (TSLA). By combing through data obtained from the Bureau of Labor Statistics and LSEG Analytics (Refinitiv) spanning from 2011 to 2022, our research team aimed to shell-acquaint this seemingly unrelated pair.

We discovered a striking correlation coefficient of 0.9479954 and p < 0.01, indicating a highly significant relationship between the aforementioned variables. This finding suggests that the activities of our nail artists may indeed have an impact on the flux and flow of Tesla's stock price. This discovery leaves us pondering: are mani-pedis the secret sauce to understanding market trends?

As we crunch our numbers, one might even dare to say that these beauty professionals hold the key to unlocking the mysteries of the stock market. Here we thought it was all about supply and demand, but it turns out, maybe it's all about supply and *nail demand*. Just imagine the nail-biting suspense!

[[INTRODUCTION]]
The relationship between seemingly unrelated variables in the stock market has always been a subject of fascination and curiosity among researchers and investors alike. While traditional economic theories focus on factors such as interest rates, GDP, and corporate earnings, our study delves into a unique and unconventional factor: the number of manicurists and pedicurists in the state of Nevada, and its connection to the stock price of Tesla (TSLA).
As the saying goes, "two things in life are certain: stock market volatility and the need for a good manicure." In this light-hearted investigation, we aim to shine a light on the unexplored potential influence of the beauty industry on stock market trends. We are not just here to "nail" correlations – we are aiming to "polish" our understanding of market dynamics and embrace a "hands-on" approach to identifying unusual drivers of stock price movements.
While some may be quick to dismiss the idea of nail technicians influencing stock prices, our analysis of data from the Bureau of Labor Statistics and LSEG Analytics (Refinitiv) has revealed some compelling insights. Upon analyzing the data spanning from 2011 to 2022, we were "mani-certain" that there was more to this industry than meets the eye. It's almost as if there's a "polished" relationship hiding just beneath the surface.

-------

Your response should start like this:

[[METHODOLOGY]]



ChatGPT:

[[METHODOLOGY]]

To investigate the intriguing connection between the number of manicurists and pedicurists in Nevada and Tesla's stock price (TSLA), our research team employed an assortment of data collection and analysis techniques. We began by sourcing data from the Bureau of Labor Statistics, digging deep into the intricate world of nail care employment figures. Concurrently, we harnessed the illuminating power of the LSEG Analytics (Refinitiv) database, gaining access to comprehensive historical stock price information for Tesla from 2011 to 2022.

With data in tow, we devised a meticulously manicured plan to explore the potential relationship between these disparate variables. Utilizing a complex algorithm that we affectionately dubbed "The Mani-Pedi Matcher," we carefully correlated the monthly counts of manicurists and pedicurists in Nevada with the corresponding stock prices of Tesla. This algorithm was carefully crafted to nail down the intricacies of the data and uncover any hidden connections, much like giving a delicate finishing touch to a remarkable nail art design.

Our team employed a series of statistical analyses to unravel any underlying patterns within the data. Spearheading these efforts, we utilized both simple and multiple regression models to capture the essence of the relationship between the number of manicurists and pedicurists in Nevada and the ebbs and flows of Tesla's stock price. As we meticulously adjusted our models, we couldn't help but draw a parallel between our regression and the meticulous buffing and polishing process done by skilled nail technicians. It's all about making those numbers shine!

To fortify our findings, we deployed a battery of robust statistical tests, including the Pearson correlation coefficient and hypothesis testing. After all, we needed to ensure that our results weren't just a mere co-incidence, but a genuinely significant connection worthy of attention. Simultaneously, we conducted a series of sensitivity analyses to ensure the robustness of our results, much like meticulously selecting the perfect shade of polish to complement a nail design.

Throughout this investigative endeavor, we exercised utmost rigor to ensure the integrity and reliability of our findings. By blending our statistical expertise with a touch of creativity, we navigated the intriguing landscape of market dynamics and beauty industry trends. Just as a well-crafted joke can tickle one's funny bone, our methodology aimed to tickle the ivories of data analysis and uncover an unexpected symphony of connections between the unlikeliest of pairs.


Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.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 The number of manicurists and pedicurists in Nevada and Tesla's stock price (TSLA). You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Stay serious and dry most of the time, but then occasionally let your wit shine through.

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

For the time period 2011 to 2022, you found a correlation 0.9479954, r-squared of 0.8986952, 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]]
Polish-ing the Market: The Mani-Pedi Connection to Tesla's Stock Price in Nevada

[[ABSTRACT]]
This study dives into the uncharted waters of the beauty industry to investigate the surprising influence of the number of manicurists and pedicurists in Nevada on Tesla's stock price (TSLA). By combing through data obtained from the Bureau of Labor Statistics and LSEG Analytics (Refinitiv) spanning from 2011 to 2022, our research team aimed to shell-acquaint this seemingly unrelated pair.

We discovered a striking correlation coefficient of 0.9479954 and p < 0.01, indicating a highly significant relationship between the aforementioned variables. This finding suggests that the activities of our nail artists may indeed have an impact on the flux and flow of Tesla's stock price. This discovery leaves us pondering: are mani-pedis the secret sauce to understanding market trends?

As we crunch our numbers, one might even dare to say that these beauty professionals hold the key to unlocking the mysteries of the stock market. Here we thought it was all about supply and demand, but it turns out, maybe it's all about supply and *nail demand*. Just imagine the nail-biting suspense!

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
The relationship between seemingly unrelated variables in the stock market has always been a subject of fascination and curiosity among researchers and investors alike. While traditional economic theories focus on factors such as interest rates, GDP, and corporate earnings, our study delves into a unique and unconventional factor: the number of manicurists and pedicurists in the state of Nevada, and its connection to the stock price of Tesla (TSLA).
As the saying goes, "two things in life are certain: stock market volatility and the need for a good manicure." In this light-hearted investigation, we aim to shine a light on the unexplored potential influence of the beauty industry on stock market trends. We are not just here to "nail" correlations – we are aiming to "polish" our understanding of market dynamics and embrace a "hands-on" approach to identifying unusual drivers of stock price movements.
While some may be quick to dismiss the idea of nail technicians influencing stock prices, our analysis of data from the Bureau of Labor Statistics and LSEG Analytics (Refinitiv) has revealed some compelling insights. Upon analyzing the data spanning from 2011 to 2022, we were "mani-certain" that there was more to this industry than meets the eye. It's almost as if there's a "polished" relationship hiding just beneath the surface.

-------

Your response should start like this:

[[RESULTS]]



ChatGPT:

[[RESULTS]]

The results of our analysis revealed a striking correlation between the number of manicurists and pedicurists in Nevada and Tesla's stock price (TSLA). The correlation coefficient of 0.9479954 indicated a remarkably strong positive relationship between these seemingly unrelated variables. Additionally, the r-squared value of 0.8986952 suggested that approximately 90% of the variability in Tesla's stock price could be explained by the fluctuations in the number of nail technicians in the state. This finding surpassed our initial expectations, painting a vivid picture of the surprising influence of the beauty industry on the stock market.

To put it in layman's terms, our nail-biting research indicates that there is a high likelihood that changes in the number of manicurists and pedicurists in Nevada are accompanied by corresponding fluctuations in Tesla's stock price. It's as if the market is playing "footsie" with the beauty industry.

We believe this significant linkage between the two variables poses the question: are manicurists and pedicurists the "unsung heroes" of market trends? Perhaps they've been "nailing" the key to understanding the rise and fall of stock prices all along. If you thought the stock market was based on solid financial data alone, our findings invite you to consider the importance of "toe-tally" unexpected influencers.

The scatterplot displayed in Figure 1 further illustrates the compelling relationship between the number of nail technicians and Tesla's stock price. The points on the plot align in such an impeccable manner that it's almost as if they were meticulously manicured themselves. And speaking of impeccable, we can't help but wonder if our findings will "fill a lacquer" in the current understanding of market dynamics.

Our findings open the door to further investigation into the influence of unconventional factors on stock market trends. After all, if "manicures and stock prices" can create a harmonious duo, what other unexpected pairs might share a similar connection? The stock market never ceases to surprise, and our research adds yet another layer of complexity to the ever-evolving understanding of market dynamics.


Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.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 The number of manicurists and pedicurists in Nevada and Tesla's stock price (TSLA). You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Stay serious and dry most of the time, but then occasionally let your wit shine through.

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]]
Polish-ing the Market: The Mani-Pedi Connection to Tesla's Stock Price in Nevada

[[ABSTRACT]]
This study dives into the uncharted waters of the beauty industry to investigate the surprising influence of the number of manicurists and pedicurists in Nevada on Tesla's stock price (TSLA). By combing through data obtained from the Bureau of Labor Statistics and LSEG Analytics (Refinitiv) spanning from 2011 to 2022, our research team aimed to shell-acquaint this seemingly unrelated pair.

We discovered a striking correlation coefficient of 0.9479954 and p < 0.01, indicating a highly significant relationship between the aforementioned variables. This finding suggests that the activities of our nail artists may indeed have an impact on the flux and flow of Tesla's stock price. This discovery leaves us pondering: are mani-pedis the secret sauce to understanding market trends?

As we crunch our numbers, one might even dare to say that these beauty professionals hold the key to unlocking the mysteries of the stock market. Here we thought it was all about supply and demand, but it turns out, maybe it's all about supply and *nail demand*. Just imagine the nail-biting suspense!

[[LITERATURE REVIEW]]
Several academic studies have sought to unravel the intricate web of relationships in the stock market, considering factors ranging from fiscal policies to global market trends. However, little attention has been paid to the potential impact of the beauty industry on stock prices. In "Nail Artist Quarterly," Smith et al. investigate the role of nail technicians in the Shakespearean drama of market dynamics, uncovering unexpected correlations and potential influence on stock prices. This research sets the stage for our own inquiry into the connection between the number of manicurists and pedicurists in Nevada and Tesla's stock price (TSLA).
As we venture into uncharted territory, it is essential to consider the broader implications of our findings. In "The Big Book of Market Mysteries" by John Doe, the author sheds light on unconventional factors that may sway stock prices, inviting readers to challenge traditional assumptions and explore the obscure corners of market influences. Our study takes a leaf from this book, aiming to demystify the relationship between the beauty industry and stock market dynamics.
Turning the pages to a different genre, we find "The Art of Nail-gebra: Finding X through Manicures" by Ann Jones, a lighthearted exploration of mathematical concepts intertwined with the world of nail art. While the book may seem whimsical at first glance, the intersection of nail techniques and economic trends becomes a focal point of discussion, offering unexpected parallels to our own investigation.
In a more speculative vein, we look to the realm of fiction for inspiration. In "Nails of Fortune" by Financial Fiction Award winner Lisa Stockton, the protagonist uncovers a mysterious link between her nail salon and the rise and fall of stock prices, embarking on a thrilling journey to decode the enigmatic connection. While our study may not unravel such dramatic narratives, the parallels are undeniable.
On a cinematic note, the blockbuster hit "The Nail Files" tells the story of a group of nail technicians whose unforeseen actions send ripples through the stock market, captivating audiences with its blend of intrigue and humor. While our research may lack the silver screen glamour, the parallels are too tantalizing to ignore.
As we delve into these unconventional sources, one thing becomes clear: the influence of manicurists and pedicurists on market trends may be more than just skin-deep. With our findings shedding light on this unexpected correlation, we aim to bring a touch of humor and wit to the typically serious world of financial research. After all, who knew that the well-manicured hands of Nevada's nail artists could hold the key to understanding Tesla's stock price movements? It's a toe-tally unexpected twist in the market narrative!

[[RESULTS]]
The results of our analysis revealed a striking correlation between the number of manicurists and pedicurists in Nevada and Tesla's stock price (TSLA). The correlation coefficient of 0.9479954 indicated a remarkably strong positive relationship between these seemingly unrelated variables. Additionally, the r-squared value of 0.8986952 suggested that approximately 90% of the variability in Tesla's stock price could be explained by the fluctuations in the number of nail technicians in the state. This finding surpassed our initial expectations, painting a vivid picture of the surprising influence of the beauty industry on the stock market.
To put it in layman's terms, our nail-biting research indicates that there is a high likelihood that changes in the number of manicurists and pedicurists in Nevada are accompanied by corresponding fluctuations in Tesla's stock price. It's as if the market is playing "footsie" with the beauty industry.
We believe this significant linkage between the two variables poses the question: are manicurists and pedicurists the "unsung heroes" of market trends? Perhaps they've been "nailing" the key to understanding the rise and fall of stock prices all along. If you thought the stock market was based on solid financial data alone, our findings invite you to consider the importance of "toe-tally" unexpected influencers.
The scatterplot displayed in Figure 1 further illustrates the compelling relationship between the number of nail technicians and Tesla's stock price. The points on the plot align in such an impeccable manner that it's almost as if they were meticulously manicured themselves. And speaking of impeccable, we can't help but wonder if our findings will "fill a lacquer" in the current understanding of market dynamics.
Our findings open the door to further investigation into the influence of unconventional factors on stock market trends. After all, if "manicures and stock prices" can create a harmonious duo, what other unexpected pairs might share a similar connection? The stock market never ceases to surprise, and our research adds yet another layer of complexity to the ever-evolving understanding of market dynamics.

-------

Your response should start like this:

[[DISCUSSION]]



ChatGPT:

[[DISCUSSION]]

The unexpected yet compelling relationship between the number of manicurists and pedicurists in Nevada and Tesla's stock price (TSLA) has truly painted a vivid picture of the influence of the beauty industry on the stock market. Our findings have unveiled a correlation coefficient of 0.9479954, which echoes the previously unexplored implications of nail technicians on market dynamics. These results not only affirm the significance of our study but also validate the eccentric and whimsical parallels drawn in our literature review.

In "Nail Artist Quarterly," Smith et al. hinted at the potential influence of nail technicians in the intricate dance of market dynamics. Our research now stands as a concrete testament to this surprising connection, demonstrating that the activities of Nevada's nail artists exhibit a substantial impact on the flux and flow of Tesla's stock price. It appears that the influence of manicurists and pedicurists on market trends may indeed run skin-deep, much like applying a fresh coat of nail polish to liven up an old pair of shoes.

Furthermore, our findings align with "The Big Book of Market Mysteries" by John Doe, which encouraged readers to challenge traditional assumptions and explore the obscure corners of market influences. It seems that our study has unearthed one such obscure corner, shedding light on the unexpected interconnectedness of the beauty industry and stock market dynamics. It's a bit like discovering a hidden gem at the bottom of a nail polish bottle – unexpected yet utterly captivating.

The lighthearted exploration of mathematical concepts intertwined with the world of nail art in "The Art of Nail-gebra: Finding X through Manicures" by Ann Jones may have initially seemed fanciful, but our research has lent unexpected weight to this intersection. After all, who would have thought that nail demand could hold such sway over market demand? It's a marvel of economic "toe-sts"!

Our scatterplot, affectionately referred to as "Figure 1," further exemplifies the remarkable relationship between the number of nail technicians and Tesla's stock price. The alignment of the points on the plot is as meticulous and impeccable as a well-crafted manicure. This alignment echoes the unexpected harmony between two seemingly disparate industries, inviting us to consider the profound influence of "toe-tally" unexpected influencers on market dynamics.

In conclusion, our study offers a unique contribution to the understanding of market dynamics by spotlighting the unexplored influence of the beauty industry on stock prices. It adds a touch of humor and wit to the typically serious world of financial research, demonstrating that the market may indeed be playing "footsie" with the beauty industry. We hope that our research will inspire further investigations into the influence of unconventional factors on stock market trends, reminding researchers and investors alike to expect the unexpected and never underestimate the "polish-ing" effect of unlikely influencers on market dynamics.


Model: gpt-3.5-turbo-1106
System prompt: You are a witty academic researcher. Your writing sounds like it belongs in a statistics journal.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 The number of manicurists and pedicurists in Nevada and Tesla's stock price (TSLA). You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Stay serious and dry most of the time, but then occasionally let your wit shine through.

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]]
Polish-ing the Market: The Mani-Pedi Connection to Tesla's Stock Price in Nevada

[[ABSTRACT]]
This study dives into the uncharted waters of the beauty industry to investigate the surprising influence of the number of manicurists and pedicurists in Nevada on Tesla's stock price (TSLA). By combing through data obtained from the Bureau of Labor Statistics and LSEG Analytics (Refinitiv) spanning from 2011 to 2022, our research team aimed to shell-acquaint this seemingly unrelated pair.

We discovered a striking correlation coefficient of 0.9479954 and p < 0.01, indicating a highly significant relationship between the aforementioned variables. This finding suggests that the activities of our nail artists may indeed have an impact on the flux and flow of Tesla's stock price. This discovery leaves us pondering: are mani-pedis the secret sauce to understanding market trends?

As we crunch our numbers, one might even dare to say that these beauty professionals hold the key to unlocking the mysteries of the stock market. Here we thought it was all about supply and demand, but it turns out, maybe it's all about supply and *nail demand*. Just imagine the nail-biting suspense!

[[INTRDUCTION]]
The relationship between seemingly unrelated variables in the stock market has always been a subject of fascination and curiosity among researchers and investors alike. While traditional economic theories focus on factors such as interest rates, GDP, and corporate earnings, our study delves into a unique and unconventional factor: the number of manicurists and pedicurists in the state of Nevada, and its connection to the stock price of Tesla (TSLA).
As the saying goes, "two things in life are certain: stock market volatility and the need for a good manicure." In this light-hearted investigation, we aim to shine a light on the unexplored potential influence of the beauty industry on stock market trends. We are not just here to "nail" correlations – we are aiming to "polish" our understanding of market dynamics and embrace a "hands-on" approach to identifying unusual drivers of stock price movements.
While some may be quick to dismiss the idea of nail technicians influencing stock prices, our analysis of data from the Bureau of Labor Statistics and LSEG Analytics (Refinitiv) has revealed some compelling insights. Upon analyzing the data spanning from 2011 to 2022, we were "mani-certain" that there was more to this industry than meets the eye. It's almost as if there's a "polished" relationship hiding just beneath the surface.

[[RESULTS]]
The results of our analysis revealed a striking correlation between the number of manicurists and pedicurists in Nevada and Tesla's stock price (TSLA). The correlation coefficient of 0.9479954 indicated a remarkably strong positive relationship between these seemingly unrelated variables. Additionally, the r-squared value of 0.8986952 suggested that approximately 90% of the variability in Tesla's stock price could be explained by the fluctuations in the number of nail technicians in the state. This finding surpassed our initial expectations, painting a vivid picture of the surprising influence of the beauty industry on the stock market.
To put it in layman's terms, our nail-biting research indicates that there is a high likelihood that changes in the number of manicurists and pedicurists in Nevada are accompanied by corresponding fluctuations in Tesla's stock price. It's as if the market is playing "footsie" with the beauty industry.
We believe this significant linkage between the two variables poses the question: are manicurists and pedicurists the "unsung heroes" of market trends? Perhaps they've been "nailing" the key to understanding the rise and fall of stock prices all along. If you thought the stock market was based on solid financial data alone, our findings invite you to consider the importance of "toe-tally" unexpected influencers.
The scatterplot displayed in Figure 1 further illustrates the compelling relationship between the number of nail technicians and Tesla's stock price. The points on the plot align in such an impeccable manner that it's almost as if they were meticulously manicured themselves. And speaking of impeccable, we can't help but wonder if our findings will "fill a lacquer" in the current understanding of market dynamics.
Our findings open the door to further investigation into the influence of unconventional factors on stock market trends. After all, if "manicures and stock prices" can create a harmonious duo, what other unexpected pairs might share a similar connection? The stock market never ceases to surprise, and our research adds yet another layer of complexity to the ever-evolving understanding of market dynamics.

-------

Your response should start like this:

[[CONCLUSION]]



ChatGPT:

[[CONCLUSION]]

In conclusion, our study has unveiled a compelling and statistically significant relationship between the number of manicurists and pedicurists in Nevada and Tesla's stock price (TSLA). The robust correlation coefficient of 0.9479954 and p < 0.01 underscores the striking influence of the beauty industry on market dynamics. It seems that when it comes to Tesla's stock, the market is not just "toeing the line" – it's getting a fresh coat of influence from an unexpected source.

Our findings raise some serious questions about the conventional wisdom of market analysis. Who would have thought that the secret to understanding the rise and fall of Tesla's stock price lies in the meticulous artistry of nail technicians? It appears that this industry's impact is not just skin-deep; it extends all the way to Wall Street. It's as if the stock market were saying, "I'll take my profits *nailed*."

Our research opens the door to a new frontier of investigation into the influence of seemingly unrelated factors on stock market trends. As we wrap up our analysis, we urge researchers to take stock of the potential impact of other unexpected influencers. After all, if *mani-pedis* can make waves in the stock market, who's to say that other industries, perhaps even the hair and makeup sector, won't have a *brush* with influence?

In light of these compelling findings, we firmly believe that further research in this area is not necessary. It's time to put our tools down and give these unexpected correlations a *mani-cure*. After all, with such a *polished* conclusion, it's clear that this study has *nailed* its objectives.


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 Polish-ing the Market: The Mani-Pedi Connection to Tesla's Stock Price in Nevada. Respond only with the name of a fictional academic journal.

ChatGPT:

Journal of Cosmetic Finance


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 Polish-ing the Market: The Mani-Pedi Connection to Tesla's Stock Price in Nevada. Respond only with the name of a fictional organization.

ChatGPT:

The Society for Applied Cosmetology and Financial Analysis


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 Polish-ing the Market: The Mani-Pedi Connection to Tesla's Stock Price in Nevada with an abstract of This study dives into the uncharted waters of the beauty industry to investigate the surprising influence of the number of manicurists and pedicurists in Nevada on Tesla's stock price (TSLA). By combing through data obtained from the Bureau of Labor Statistics and LSEG Analytics (Refinitiv) spanning from 2011 to 2022, our research team aimed to shell-acquaint this seemingly unrelated pair.
We discovered a striking correlation coefficient of 0.9479954 and p < 0.01, indicating a highly significant relationship between the aforementioned variables. This finding suggests that the activities of our nail artists may indeed have an impact on the flux and flow of Tesla's stock price. This discovery leaves us pondering: are mani-pedis the secret sauce to understanding market trends?
As we crunch our numbers, one might even dare to say that these beauty professionals hold the key to unlocking the mysteries of the stock market. Here we thought it was all about supply and demand, but it turns out, maybe it's all about supply and *nail demand*. Just imagine the nail-biting suspense!

ChatGPT:

beauty industry, manicurists, pedicurists, Nevada, Tesla stock price, TSLA, Bureau of Labor Statistics, LSEG Analytics, Refinitiv, correlation coefficient, market trends, stock market, nail demand

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



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Data details

The number of manicurists and pedicurists in Nevada
Detailed data title: BLS estimate of manicurists and pedicurists in Nevada
Source: Bureau of Larbor Statistics
See what else correlates with The number of manicurists and pedicurists in Nevada

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

See what else correlates with Tesla's stock price (TSLA)

Correlation r = 0.9479954 (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 = 0.8986952 (Coefficient of determination)
This means 89.9% of the change in the one variable (i.e., Tesla's stock price (TSLA)) is predictable based on the change in the other (i.e., The number of manicurists and pedicurists in Nevada) over the 12 years from 2011 through 2022.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 2.7E-6. 0.0000027443653122877510000000
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 0.95 in 0.00027% of random cases. Said differently, if you correlated 364,383 random variables You don't actually need 364 thousand 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 11 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 11 because we have two variables measured over a period of 12 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.

[ 0.82, 0.99 ] 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.
201120122013201420152016201720182019202020212022
The number of manicurists and pedicurists in Nevada (Laborers)3603303302702102003503503601408101040
Tesla's stock price (TSLA) (Stock price)1.791.932.339.9914.8615.3814.3220.820.4128.3239.82382.58




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.




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([360,330,330,270,210,200,350,350,360,140,810,1040,])
array_2 = np.array([1.79,1.93,2.33,9.99,14.86,15.38,14.32,20.8,20.41,28.3,239.82,382.58,])
array_1_name = "The number of manicurists and pedicurists in Nevada"
array_2_name = "Tesla's stock price (TSLA)"

# 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: 3333 · Black Variable ID: 11189 · Red Variable ID: 1545
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