Posted on by Judy

“Correlation does not imply causation.”

[ad_1]
You may have heard it said before that “correlation does not imply causation.” This can also be called spuriouscorrelation, which is defined as a correlation between two variables that does not result from a directrelationship between them. Instead, it results from the variables’ relationship to other variables. One example isthe relationship between crime and ice cream sales. Ice cream sales and crime rates are highly correlated.However, ice cream sales do not cause crime; instead, it is both variables’ relationship to weather andtemperature.Do some research and find some interesting, or even funny, examples of spurious correlation. Share, cite yoursource, and discuss. Why is this an example of spurious correlation? How do you know?
Sample Solution

What Students Are Saying About Us

.......... Customer ID: 12*** | Rating: ⭐⭐⭐⭐⭐
"Honestly, I was afraid to send my paper to you, but splendidwritings.com proved they are a trustworthy service. My essay was done in less than a day, and I received a brilliant piece. I didn’t even believe it was my essay at first 🙂 Great job, thank you!"

.......... Customer ID: 14***| Rating: ⭐⭐⭐⭐⭐
"The company has some nice prices and good content. I ordered a term paper here and got a very good one. I'll keep ordering from this website."

"Order a Custom Paper on Similar Assignment! No Plagiarism! Enjoy 20% Discount"

Related posts:

  1. Can correlation imply causation? Can smoking causes bad grades?
  2. A study once found that, for any given year, there was a positive correlation between ice cream consumption a
  3. The manager of a seafood restaurant was asked to establish a pricing policy on lobster dinners. The manager intends to use the pricing $/LB to predict the lobster sales on each day. The pertinent historical data are collected as shown in the table. Anaswer the following questions. Day Lobster Sold/day Price ($/lb.) 1 165 5.9 2 163 6.1 3 171 6.4 4 179 7.0 5 171 7.4 6 186 7.5 7 178 7.8 a) x = independent variable. According to this problem, the ∑x = b) r is the coeefficient of correlation. Use the r equation to compute the value of the denominator part of the equation. The value for the r denominator = (in 4 decimal places) c) According to this problem, the correlation of coefficient, r, between the two most pertinent variables is = (in 4 decimal places). d) According to the instructor’s lecture, the correlation strength between any two variables can be described as strong,weak, or no correlation. The correlation strength for this problem can be described as correlation. e) According to the instructor’s lecture, the correlation direction between any two variables can be described as direct orindirect relationship. The correlation direction for this problem can be described as relationship. f) Regardless, you were told to use the Associative Forecasting method to predict the expected lobster sale. If the lobster price = $8.58, the expected #s of lobster sold = (round to the next whole #).
  4. The manager of a seafood restaurant was asked to establish a pricing policy on lobster dinners. The manager intends to use the pricing $/LB to predict the lobster sales on each day. The pertinent historical data are collected as shown in the table. Anaswer the following questions. Day Lobster Sold/day Price ($/lb.) 1 165 5.9 2 163 6.1 3 171 6.4 4 179 7.0 5 171 7.4 6 186 7.5 7 178 7.8 a) x = independent variable. According to this problem, the ∑x = b) r is the coeefficient of correlation. Use the r equation to compute the value of the denominator part of the equation. The value for the r denominator = (in 4 decimal places) c) According to this problem, the correlation of coefficient, r, between the two most pertinent variables is = (in 4 decimal places). d) According to the instructor’s lecture, the correlation strength between any two variables can be described as strong,weak, or no correlation. The correlation strength for this problem can be described as correlation. e) According to the instructor’s lecture, the correlation direction between any two variables can be described as direct orindirect relationship. The correlation direction for this problem can be described as relationship. f) Regardless, you were told to use the Associative Forecasting method to predict the expected lobster sale. If the lobster price = $8.58, the expected #s of lobster sold = (round to the next whole #).