Pls note that the remaining questions will be posted soon

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 15 16 Score 86 100 a. Find the correlation coefficient: T - Round to 2 decimal places b. The null and alternative hypotheses for correlation are: Ho: ? v = H1 : ?~ +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. 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. 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. O 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. O 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. d. 12 = (Round to two decimal places) e. Interpret 72 : There is a 76% chance that the regression line will be a good predictor for the final exam score based on the time spent studying. Given any group that spends a fixed amount of time studying per week, 76% of all of those students will receive the predicted score on the final exam