Please solve what’s not filled in. Question 3#3What 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.Time 11 12 10 8 11 12 1Score 90 81 85 89 82 95 59▾a. Find the correlation coefficient: r = 0.82b. The null and alternative hypotheses for correlation are:Ho: pv = 0H₁: p000 22The p-value is: 0.0071 (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.80F3O There is statistically significant evidence to conclu 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.d. 2-e. Interpret ²: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 67%.O 67% of all students will receive the average score on the final exam.O There is a 67% chance that the regression line will be a good predictor for the final exam scorebased on the time spent studying.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.(Round to two decimal places)f. The equation of the linear regression line is:$16786 954OGiven any group that spends a fixed amount of time studying per week, 67% of all of thosestudents will receive the predicted score on the final exam.200F4Round to 2 decimal places.%5F5(Please show your answers to two decimal places)ACF6&F7DIIF8F9F1 # 2O 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 67%.f. The equation of the linear regression line is:ŷEDO 67% of all students will receive the average score on the final exam.O There is a 67% chance that the regression line will be a good predictor for the final exam scorebased on the time spent studying.O Given any group that spends a fixed amount of time studying per week, 67% of all of thosestudents will receive the predicted score on the final exam.(Please show your answers to two decimal places)g. Use the model to predict the final exam score for a student who spends 10 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 willscore on the final.O As x goes up, y goes up.O For every additional hour per week students spend studying, they tend to score on averge 2.12higher on the final exam.i. Interpret the y-intercept in the context of the question:80F3O The y-intercept has no practical meaning for this study. 4O The average final exam score is predicted to be 64.O 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.$4RFL900F4%5F5TG^6MacBook AirF6YH&F7* 008DIIF8DDF9AF10

Question

Please solve what’s not filled in. Question 3#3What 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.Time 11 12 10 8 11 12 1Score 90 81 85 89 82 95 59▾a. Find the correlation coefficient: r = 0.82b. The null and alternative hypotheses for correlation are:Ho: pv = 0H₁: p000 22< >The p-value is: 0.0071 (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.80F3O There is statistically significant evidence to conclu 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.d. 2-e. Interpret ²: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 67%.O 67% of all students will receive the average score on the final exam.O There is a 67% chance that the regression line will be a good predictor for the final exam scorebased on the time spent studying.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.(Round to two decimal places)f. The equation of the linear regression line is:$16786 954OGiven any group that spends a fixed amount of time studying per week, 67% of all of thosestudents will receive the predicted score on the final exam.200F4Round to 2 decimal places.%5F5(Please show your answers to two decimal places)ACF6&F7DIIF8F9F1 # 2O 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 67%.f. The equation of the linear regression line is:ŷEDO 67% of all students will receive the average score on the final exam.O There is a 67% chance that the regression line will be a good predictor for the final exam scorebased on the time spent studying.O Given any group that spends a fixed amount of time studying per week, 67% of all of thosestudents will receive the predicted score on the final exam.(Please show your answers to two decimal places)g. Use the model to predict the final exam score for a student who spends 10 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 willscore on the final.O As x goes up, y goes up.O For every additional hour per week students spend studying, they tend to score on averge 2.12higher on the final exam.i. Interpret the y-intercept in the context of the question:80F3O The y-intercept has no practical meaning for this study. 4O The average final exam score is predicted to be 64.O 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.$4RFL900F4%5F5TG^6MacBook AirF6YH&F7* 008DIIF8DDF9AF10

Accepted Answer

Hello! As you have posted more than 3 sub parts, we are answering the  3 sub-parts(d, e and f).  In…

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 11 12 10