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. Time4660433918203518Pounds13814213511611998125112 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)

The Excel output is as follows: 1) From the above, it can be seen that the coefficient of…

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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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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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