question 26What 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. Time5488826139408483Pounds149198184166142140170163The equation of the linear regression line is: ˆyy^ = ?+ x (Please show your answers to 3 decimal places) Use the model to predict the weight of a woman who spends 50 minutes on the phone.Weight = ? (Please round your answer to the nearest whole number.) Interpret the slope of the regression line in the context of the question: For every additional minute women spend on the phone, they tend to weigh on averge 0.87 additional pounds.As x goes up, y goes up.The slope has no practical meaning since you cannot predict a women's weight.Interpret the y-intercept in the context of the question:The y-intercept has no practical meaning for this study.The average woman's weight is predicted to be 106.The best prediction for the weight of a woman who does not spend any time talking on the phone is 106 pounds.If a woman does not spend any time talking on the phone, then that woman will weigh 106 pounds.

Name: question 26What is the relationship between the number of minutes per
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Description: question 26What 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. Time5488826139408483Pounds149198184166142

From the above data The equation of the linear regression line is: y^ = 106.200+0.871x

Answered: The equation of the linear regression…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

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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

The equation of the linear regression line is:
ˆyy^ = ?+ x (Please show your answers to 3 decimal places)
Use the model to predict the weight of a woman who spends 50 minutes on the phone.
Weight = ? (Please round your answer to the nearest whole number.)
Interpret the slope of the regression line in the context of the question:
- For every additional minute women spend on the phone, they tend to weigh on averge 0.87 additional pounds.
- As x goes up, y goes up.
- The slope has no practical meaning since you cannot predict a women's weight.
Interpret the y-intercept in the context of the question:
- The y-intercept has no practical meaning for this study.
- The average woman's weight is predicted to be 106.
- The best prediction for the weight of a woman who does not spend any time talking on the phone is 106 pounds.
- If a woman does not spend any time talking on the phone, then that woman will weigh 106 pounds.