What is the difference between correlation and causation?

1. Introduction to variability A researcher is studying psychological factors in artistic achievement among teenage girls. One variable he is particularly interested in is perseverance. What information does a measure of variability for the variable perseverance convey? Check all that apply. what is the most common value for the variable perseverance among teenage girls? What is the average value for the variable perseverance among teenage girls? What is the central tendency for the variable perseverance among teenage girls? How consistent are the values for perseverance among teenage girls?

Statistics Question

The data in the table to the right are based on the results of a survey comparing the commute time of adults to their score on a​ well-being test. Complete parts​ (a) through​ (d) below.   LOADING... Click the icon to view the table of critical values of the correlation coefficient. a) Which variable is likely the explanatory variable and which is the response​ variable?     Critical Values for Correlation Coefficient   n   3 0.997 4 0.950 5 0.878 6 0.811 7 0.754 8 0.707 9 0.666 10 0.632 11 0.602 12 0.576 13 0.553 14 0.532 15 0.514 16 0.497 17 0.482 18 0.468 19 0.456 20 0.444 21 0.433 22 0.423 23 0.413 24 0.404 25 0.396 26 0.388 27 0.381 28 0.374 29 0.367 30 0.361 n   (a) Which variable is likely the explanatory variable and which is the response​ variable? The explanatory variable is…

The data in the table to the right are based on the results of a survey comparing the commute time of adults to their score on a well-being test. Complete parts (a) through (d) below. Click the icon to view the critical values for the correlation coefficient. Score 70+ r= 60- (a) Which variable is likely the explanatory variable and which is the response variable? A. The explanatory variable is commute time and the response variable is the well-being score because commute time affects the well-being score. B. The explanatory variable is commute time and the response variable is the well-being score because well-being score affects the commute time score. C. The explanatory variable is the well-being score and the response variable is commute time because commute time affects the well-being score. D. The explanatory variable is the well-being score and the response variable is commute time because well-being score affects the commute time. (b) Draw a scatter diagram of the data. Which…

Does more education lower a person’s level of prejudice? The number of years of education and the score on a prejudice test for ten people is given in the following table. Higher scores on the test indicate more prejudice. Years of Education 12 15 14 13 18 10 16 12 10 4 Score on Prejudice Test 1 6 2 3 2 4 1 5 5 10   Conduct a hypothesis test to determine if there is a significant linear correlation between the two variables. What is the decision for this hypothesis test?  Reject the null because the absolute value of the test statistic is greater than the critical value and the p-value is less than alpha.  Fail to reject the null because the absolute value of the test statistic is less than the critical value and the p-value is greater than alpha.  Reject the null because the absolute value of the test statistic is less than the critical value and the p-value is less than alpha.  Fail to reject the null because the absolute value of the test statistic is greater than the…

11. Why doesn't correlation equal causation?

10. Describe the pattern of data that is observed when there is a strong negative correlation between X and Y.

Explain the Different threats to the Internal Validity of a Multiple Regression Study?

I need the answer to this question, please? An article included a summary of findings regarding the use of SAT I scores, SAT II scores, and high school grade point average (GPA) to predict first-year college GPA. The article states that "among these, SAT II scores are the best predictor, explaining 17 percent of the variance in first-year college grades. GPA was second at 15.5 percent, and SAT I was last at 13.5 percent." If the data from this study were used to fit a least squares line with y = first-year college GPA and x = high school GPA, what would the value of r2 have been? r2 =