Question 3 0/5 pts ) 10 ~ 4 0 Details What is the relationship between the amount of time statistics students study per week and their final exam scores? The results of the survey are shown below. Time 16 6 1 5 11 12 1 Score 100 71 55 63 95 78 66 a. Find the correlation coefficient: r = Round to 2 decimal places. b. The null and alternative hypotheses for correlation are: Ho: ?v = 0 H1: 2 v + 0 The p-value is: (Round to four decimal places) c. Use a level of significance of a - 0.05 to state the conclusion of the hypothesis test in the context of the study. O There is statistically insignificant evidence to conclude that there is a correlation between the time spent studying and the score on the final exam. Thus, the use of the regression line is not appropriate. There is statistically significant evidence to conclude that a student who spends more time studying will score higher on the final exam than a student who spends less time studying. There is statistically insignificant evidence to conclude that a student who spends more time studying will score higher on the final exam than a student who spends less time studying. There is statistically significant evidence to conclude that there is a correlation between the time spent studying and the score on the final exam. Thus, the regression line is useful. a. The equation of the linear regression line is: y = (Please show your answers to two decimal places) b. Use the model to predict the final exam score for a student who spends 2 hours per week studying. Final exam score = (Please round to two decimal places.)