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#0 e p-value is: (Round to four decimal places) e a level of significance of a = 0.05 to state the conclusion of the hypothesis test in the context 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. 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.

#0 e p-value is: (Round to four decimal places) e a level of significance of a = 0.05 to state the conclusion of the hypothesis test in the context 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. 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.

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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f10need help please parts A,B,D,F,G

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 5 1 2 16 0 7 6 Score 70 62 49 100 49 69 62 a. Find the correlation coefficient: r = b. The null and alternative hypotheses for correlation are: Ho: ? ✓ = 0 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. Round to 2 decimal places. 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. 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. (Round to two decimal places) d. 72= e. Interpret 7²: O Given any group that spends a fixed amount of time studying per week, 89% of all of those students 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 at students who spend a fixed amount of time studying per week, this variation on average is reduced by 89%. 89% of all students will receive the average score on the final exam. There is a 89% chance that the regression line will be a good predictor for the final exam score based on the time spent studying. f. The equation of the linear regression line is: ý = (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. (Please round your answer to the nearest whole number.) Final exam score =
Transcribed Image Text: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 5 1 2 16 0 7 6 Score 70 62 49 100 49 69 62 a. Find the correlation coefficient: r = b. The null and alternative hypotheses for correlation are: Ho: ? ✓ = 0 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. Round to 2 decimal places. 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. 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. (Round to two decimal places) d. 72= e. Interpret 7²: O Given any group that spends a fixed amount of time studying per week, 89% of all of those students 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 at students who spend a fixed amount of time studying per week, this variation on average is reduced by 89%. 89% of all students will receive the average score on the final exam. There is a 89% chance that the regression line will be a good predictor for the final exam score based on the time spent studying. f. The equation of the linear regression line is: ý = (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. (Please round your answer to the nearest whole number.) Final exam score =
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