performance in 2009. Analysis of this data reveals a correlation coefficient of r=−0.2024. What would be the predicted stock return for a company whose CEO made​ $15 million? What would be the predicted stock return for a company whose CEO made​ $25 million?

The maximum weights (in kilograms) for which one repetition of a half-squat can be performed and the jump heights (in centimeters) for 12 international soccer players are given in the accompanying table. The correlation coefficient, rounded to three decimal places, is r=0.707. At & = 0.05, is there enough evidence to conclude that there is a significant linear correlation between the variables? Click the icon to view the soccer player data. Determine the null and alternative hypotheses. Ho:p = 0 Ha:p # 0 Determine the critical value(s). to = (Round to three decimal places as needed. Use a comma to separate answers as needed.)

If you have a Pearson correlation coefficient of .30, what is the proportion of variance accounted for (r2) in a correlational study?

A correlation of 0.95 for two variables X and Y implies that if X increases, there is a 95% chance that Y will also increase. Is this statement true or false?

Suppose that you are interested in the relationship between Reading and Writing scores. (a)  Provide the scatterplot for the association between Reading and Writing scores. Based on the scatterplot, do you expect Reading to be correlated with Writing? If so, based only on the plot, would you expect the correlation to be positive or negative? Explain your answer. (b)  Report the value of the correlation between Reading and Writing scores, and whether it is statistically significant. Do these results agree with your expectations from part (a)? RDG WRTG 34 44 47 36 42 59 39 41 36 49 50 46 63 65 44 52 47 41 44 50 50 62 44 41 47 40 42 59 42 41 47 41 60 65 39 49 57 54 73 65 47 46 39 44 35 39 39 41 48 49 31 41 52 63 47 54 36 44 47 44 34 46 52 57 42 40 37 44 44 33 71 58 47 46 42 33 42 36 47 41 52 54 52 54 39 39 31 41 60 54 47 31 39 28 42 36 47 57 42 49 36 41 50 33 34 34 55 55 28 46…

Ten children took part in a study at their dentist’s office. The dentist collected data on how many pieces of candy the children ate after Halloween and the number of cavities six months later. A correlation was conducted between pieces of candy consumed after Halloween and number of new cavities after Halloween. The Pearson correlation was .892, with p < .001. What can you conclude about the relationship between pieces of candy consumed after Halloween and the number of new cavities after Halloween? Be sure to state your statistics in APA style

Statistics Question

A university would like to describe the relationship between the GPA and the starting monthly salary of a graduate who earned a business degree from the university. The table shown below gives the monthly starting salaries for five graduates of the business school along with their corresponding GPAs. These data have a sample correlation coefficient, rounded to three decimal places, of 0.965. Using x=0.10, test if the population correlation coefficient between the starting salary and the GPA of a university business graduate is greater than zero. Starting Salary $2,600 $2,900 GPA 3.1 3.4 What are the correct null and alternative hypotheses? O A. Ho: p0. H₁₂₁: p=0 $2,400 2.6 O C. Ho: p≤0 H₁: p>0 What is the test statistic? t = (Round to two decimal places as needed.) What is the p-value? p-value = (Round to three decimal places as needed.) State the conclusion. Ho. There $2,900 3.7 $2,200 2.5 OB. Ho: p=0 H₁:p #0 O D. Ho: p20 H₁: p<0 enough evidence from the sample to conclude that p is…

Would A be the answer?

Is the correlation about 0.02, 0.22, or 0.92 with the outlier?    Without this outlier, is the correlation about 0.18, 0.78, or 0.98?    Is the outlier is an influential point to the correlation?