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. 0| 2 3 0 9 7 79 71 78 Time 1 13 12 Score 61 58 60 59 68 83 a. Find the correlation coefficient: r = Round to 2 decimal places. b. The null and alternative hypotheses for correlation are: Ho: ?v = 0 H: ? + 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. 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. O 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 a student who spends more time studying will score higher on the final exam than a student who spends less time studying. d. = e. Interpret r: (Round to two decimal places) O Given any group that spends a fixed amount of time studying per week, 79% of all of those students will receive the predicted score on the final exam. O There is a 79% chance that the regression line will be a good predictor for the final exam score based on the time spent studying. O 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 79%. O 79% of all students will receive the average score on the final exam. f. The equation of the linear regression line is: z (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. (Please round your answer to the nearest whole number.) Final exam score = h. Interpret the slope of the regression line in the context of the question: O As x goes up, y goes up. O For every additional hour per week students spend studying, they tend to score on averge 1.67 higher on the final exam. O The slope has no practical meaning since you cannot predict what any individual student will score on the final. i. Interpret the y-intercept in the context of the question: O The y-intercept has no practical meaning for this study. O The average final exam score is predicted to be 60. O The best prediction for a student who doesn't study at all is that the student will score 60 the final exam. O f a student does not study at all, then that student will score 60 on the final exam.

p17 need help with D F G please

Use the data values in the table below to calculate the correlation between the variables x and y.Submit the link through Canvas to either a photo of your work on paper or a link to a google sheet. x y 3 19.13 4 21.24 5 19.65 6 18.36 7 17.57 8 18.98 9 16.99 10 16.7 Give your answer to three decimal places. __?__

Thank you so much,  I also need help with this one parts. thank you A, B, D F G

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Need A B D

I AM RESUBMITTING THIS QUESTION FOR MORE SUBPARTS. I NEED HELP FROM NUMBER 7 DOWN. THANK YOU.    A grocery store manager did a study to look at the relationship between the amount of time (in minutes) customers spend in the store and the amount of money (in dollars) they spend. The results of the survey are shown below.   Time 27 22 17 30 17 19 12 23 22 Money 117 72 53 106 66 93 53 83 95   Find the correlation coefficient:  r=    Round to 2 decimal places. The null and alternative hypotheses for correlation are:H0:H0: ? μ r ρ  == 0H1:H1: ? r ρ μ   ≠≠ 0    The p-value is:    (Round to four decimal places) Use a level of significance of α=0.05α=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 customer who spends more time at the store will spend more money than a customer who spends less time at the store. There is statistically significant evidence to conclude that there is a…

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 8 12 14 7 10 13 6 11 Score 87 87 100 85 93 89 76 68 81 a. Find the correlation coefficient: r = 0.71 o Round to 2 decimal places. b. The null and alternative hypotheses for correlation are: Но: р H1: p v The p-value is: 0.0328 o (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 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. There is statistically significant evidence to conclude that…

What is the relationship between the number of minutes per day a woman spends talking on the phone and the woman's weight? The time on the phone and weight for 8 women are shown in the table below.   Time 82 24 64 52 82 12 77 89 Pounds 181 125 156 142 158 103 148 161   Find the correlation coefficient:  r=r=    Round to 2 decimal places. The null and alternative hypotheses for correlation are:H0:H0: ? μ ρ r  == 0H1:H1: ? r ρ μ   ≠≠ 0    The p-value is:    (Round to four decimal places) Use a level of significance of α=0.05α=0.05 to state the conclusion of the hypothesis test in the context of the study. There is statistically insignificant evidence to conclude that there is a correlation between the time women spend on the phone and their weight. Thus, the use of the regression line is not appropriate. There is statistically insignificant evidence to conclude that a woman who spends more time on the phone will weigh more than a woman who spends less time on the phone. There…

What is the relationship between the number of minutes per day a woman spends talking on the phone and the woman's weight? The time on the phone and weight for 7 women are shown in the table below. Time 47 65 51 50 76 46 60 Pounds 161 179 173 181 202 157 170 a. Find the correlation coefficient: r = 0.85 o Round to 2 decimal places. b. The null and alternative hypotheses for correlation are: Ho: H : The p-value is: 0.0154 o (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 insignificant evidence to conclude that a woman who spends more time on the phone will weigh more than a woman who spends less time on the phone. There is statistically insignificant evidence to conclude that there is a correlation between the time women spend on the phone and their weight. Thus, the use of the regression line is not appropriate. There is statistically significant evidence to…