The remaining question. Thks a lot.

e. interpret 7 : O 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. O 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. O 76% of all students will receive the average score on the final exam. There is a large variation in the final exam scores that students receive, but if you only look at students who spend a fixed amount of time studying per week, this variation on average is reduced by 76%. f. The equation of the linear regression line is: (Please show your answers to two decimal places) g. Use the model to predict the final exam score for a student who spends 8 hours per week studying. Final exam score = (Please round your answer to the nearest whole number.) h. Interpret the slope of the regression line in the context of the question: O The slope has no practical meaning since you cannot predict what any individual student will score on the final. O For every additional hour per week students spend studying, they tend to score on averge 2.25 higher on the final exam. O As x goes up, y goes up. i. Interpret the y-intercept in the context of the question: The y-intercept has no practical meaning for this study. O If a student does not study at all, then that student will score 62 on the final exam. O The best prediction for a student who doesn't study at all is that the student will score 62 on the final exam. O The average final exam score is predicted to be 62