Pictures attached * 12nyTM Up to 12-hour battery life 14" FHD IPS displayWeek 14: Chapter 12 - Linear Re Xightingale.instructure.com/courses/3057255/assignments/28988705?module_item_id=6243)ble Flash...Question 2<>What is the relationship between the amount of time statistics students study per week and their finalexam scores? The results of the survey are shown below.Time716119.74.10Score86581001006775897885a. Find the correlation coefficient: r =Round to 2 decimal places.b. The null and alternative hypotheses for correlation are:Ho: ? vH1: ? v= 0The 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 contextof the study.O There is statistically significant evidence to conclude that a student who spends more timestudying 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 thetime spent studying and the score on the final exam. Thus, the regression line is useful.O There is statistically insignificant evidence to conclude that a student who spends more timestudying 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 thetime spent studying and the score on the final exam. Thus, the use of the regression line is notappropriate.d. p2 =(Round to two decimal places)e. Interpret r2:O Given any group that spends a fixed amount of time studying per week, 77% of all of thosestudents will receive the predicted score on the final exam.acer Up to 12-hour battery life 14" FHD IPS displayO Week 14: Chapter 12 - Linear Re Xhtingale.instructure.com/courses/3057255/assignments/28988705?module_item_id%3D6243711-Flash..appropriate.d. r2 =(Round to two decimal places)e. Interpret 72:O Given any group that spends a fixed amount of time studying per week, 77% of all of thosestudents will receive the predicted score on the final exam.O There is a large variation in the final exam scores that students receive, but if you only look atstudents who spend a fixed amount of time studying per week, this variation on average isreduced by 77%.O77% of all students will receive the average score on the final exam.O There is a 77% chance that the regression line will be a good predictor for the final exam scorebased on the time spent studying.f. The equation of the linear regression line is:=x (Please show your answers to two decimal places)g. Use the model to predict the final exam score for a student who spends 11 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 For every additional hour per week students spend studying, they tend to score on averge 2.52higher on the final exam.O As x goes up, y goes up.O The slope has no practical meaning since you cannot predict what any individual student wilLscore on the final.i. Interpret the y-intercept in the context of the question:The y-intercept has no practical meaning for this study.The best prediction for a student who doesn't study at all is that the student will score 64 onthe final exam.O If a student does not study at all, then that student will score 64 on the final exam.O The average final exam score is predicted to be 64.acer

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Description: Pictures attached * 12nyTM Up to 12-hour battery life 14" FHD IPS displayWeek 14: Chapter 12 - Linear Re Xightingale.instructure.com/courses/3057255/assignments/28988705?module_item_id=6243)ble Flash...Question 2<>What is the relationship between the