Please show me how to do #14! I gave the other questions because I guess you nee

Question

Please show me how to do #14! I gave the other questions because I guess you need them to answer the question (?). SHOW ALL YOUR WORK and why.

Use the following scenario to answer questions 10 through 18 The following scatterplot and regression output was taken from a sample of 344 students to investigate if the amount of exercise per week (in hours) helps to predict a person's GPA Scatterplot of GPA Vs Exercise barche (hars per wmek Predictor Constant Exercise -0.011417 3.25810 0.04016 0.003836 Coef SE Coef T P 0.000 0.003 10. Which is the response variable? a. GPA amount of exercise per week c. this cannot be determined from the question asked 11. Which of the following best describes the relationship between GPA and amount of exercise per week? a. There is a strong positive linear relationship between GPA and amount of exercise per week. b. There is a strong negative linear relationship between GPA and amount of exercise per week. c. There is a strong non-linear relationship between GPA and amount of exercise per week, but the direction cannot be determined. d. There is a weak relationship that is distinctly not linear between GPA and amount of exercise per week. e.) There is a weak relationship between GPA and amount of exercise per week, but it is not distinctly non- linear 12. Which of the following is the correct correlation coefficient for this scatterplot? a. +0.973 b. +0.758 C. +0 e. -0.862 13. To answer the question, "Is the amount of exercise per week a significant predictor of a student's GPA?", a t-test is performed. What is the null hypothesis? a. The slope of the population regression line is 0, which implies that the amount of exercise per week is a significant predictor of a GPA. b. The slope of the population regression line is not 0, which implies that the amount of exercise per week is a significant predictor of a GPA. c.) The slope of the population regression line is 0, which implies that the amount of exercise per week is d. The slope of the population regression line is not 0, which implies that the amount of exercise per week e. The y-intercept is 0, which implies that the amount of exercise per week is not a significant predictor of a not a significant predictor of a GPA. is not a significant predictor of a GPA. GPA.

Explanation / Answer

Q10) GPA because the dependent variable is GPA
Q11) Option E

Q12) Option D because the plot looks veery weak

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