question 26 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 54 88 82 61 39 40 84 83 Pounds 149 198 184 166 142 140 170 163 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.(choose 1 correct answer below) There is statistically significant 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 conclude that there is a correlation between the time women spend on the phone and their weight. Thus, the regression line is useful. 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. r2 = ?(Round to 3 decimal places) Interpret r2 : (choose 1 correct answer please ) 77% of all women will have the average weight. There is a large variation in women's weight, but if you only look at women with a fixed weight, this variation on average is reduced by 77%. There is a 77% chance that the regression line will be a good predictor for women's weight based on their time spent on the phone. Given any group of women who all weight the same amount, 77% of all of these women will weigh the predicted amount.

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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question 26

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	54	88	82	61	39	40	84	83
Pounds	149	198	184	166	142	140	170	163

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.(choose 1 correct answer below)
- There is statistically significant 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 conclude that there is a correlation between the time women spend on the phone and their weight. Thus, the regression line is useful.
- 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.
r2 = ?(Round to 3 decimal places)
Interpret r2 : (choose 1 correct answer please )
- 77% of all women will have the average weight.
- There is a large variation in women's weight, but if you only look at women with a fixed weight, this variation on average is reduced by 77%.
- There is a 77% chance that the regression line will be a good predictor for women's weight based on their time spent on the phone.
- Given any group of women who all weight the same amount, 77% of all of these women will weigh the predicted amount.