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 46 60 43 39 18 20 35 18 Pounds 138 142 135 116 119 98 125 112 r2r2 = (Round to two decimal places) Interpret r2r2 : There is a 71% 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, 71% of all of these women will weigh the predicted amount. 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 71%. 71% of all women will have the average weight. The equation of the linear regression line is: ˆyy^ = + xx (Please show your answers to two decimal places)
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 46 60 43 39 18 20 35 18 Pounds 138 142 135 116 119 98 125 112 r2r2 = (Round to two decimal places) Interpret r2r2 : There is a 71% 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, 71% of all of these women will weigh the predicted amount. 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 71%. 71% of all women will have the average weight. The equation of the linear regression line is: ˆyy^ = + xx (Please show your answers to two decimal places)
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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Problem 1P
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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 | 46 | 60 | 43 | 39 | 18 | 20 | 35 | 18 |
---|---|---|---|---|---|---|---|---|
Pounds | 138 | 142 | 135 | 116 | 119 | 98 | 125 | 112 |
- r2r2 = (Round to two decimal places)
- Interpret r2r2 :
- There is a 71% 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, 71% of all of these women will weigh the predicted amount.
- 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 71%.
- 71% of all women will have the average weight.
- The equation of the linear regression line is:
ˆyy^ = + xx (Please show your answers to two decimal places)
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