The linear regression equation for predicting systolic blood pressure from age is: y = 37 +2.7*xFind the residual for a person who is 31 years of age with a systolic blood pressure of 122.7 (round youranswer to one decimal place)

To find the residual for a person who is 31 years of age with a systolic blood pressure of 122.7, we…

Answered: The linear regression equation for…

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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A regression was run to determine if there is a relationship between hours of study per week (x) and the final exam scores (y).The results of the regression were: y=ax+b a=5.088 b=26.56 r2=0.913936 r=0.956 Use this to predict the final exam score of a student who studies 4.5 hours per week, and please round your answer to a whole number.
A regression was run to determine if there is a relationship between hours of study per week (x) and the final exam scores (y). The results of the regression were: y=ax+b a=6.239 b=38.43 r²=0.758641 r=0.871 Use this to predict the final exam score of a student who studies 6 hours per week, and please round your answer to a whole number.
Data was recorded for the temperature, in degrees Celsius, of a cup of coffee over a 30-minute period. Given the regression equation, In(Temp) = 4.20 0.023(Time), what is the predicted temperature after 3 minutes? 33.45 °C 62.24 °C 65.17 °C 66.69 °C
A regression was run to determine if there is a relationship between hours of study per week (x) and the final exam Scores (y). The results of the regression were: y=ax+b a=6.179 b=28.96 r²=0.937024 r=0.968 Use this to predict the final exam score of a student who studies 4 hours per week, and please round your answer to a whole number.
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A regression analysis was performed to determine if there is a relationship between hours of TV watched per day (x) and number of sit ups a person can do (y).The results of the regression were: ˆy=-1.278 x+x+31.637r2=0.719104r2r=−0.848 Use this to predict the number of sit ups a person who watches 12 hours of TV can do, and please round your answer to a whole number.
The linear regression equation for predicting systolic blood pressure from age is: y = 54 + 1.6*x Find the residual for a person who is 32 years of age with a systolic blood pressure of 103.9 (round your answer to one decimal place)
The regression equation between two variables X and y is Y =1.6+2.2 X Find the predicted Y value for X =13?
The slope, b represents * O predicted value of Y when X = 0. O the estimated average change in Y per unit change in X. O variation around the line of regression. O the predicted value of Y.
A regression was run to determine if there is a relationship between hours of study per week (xx) and the final exam scores (yy).The results of the regression were: y=ax+b a=5.226 b=34.56 r2=0.904401 r=0.951 Use this to predict the final exam score of a student who studies 1 hours per week, and please round your answer to a whole number?
Use B = -15.812961, and ₁ = 0.096300 to determine the equation of the estimated regression line. (Round your numerical answers to four decimal places.) ŷ =
A regression analysis was performed to determine if there is a relationship between hours of TV watched per day (x) and number of sit ups a person can do (y ). The results of the regression were: y=ax+b a=-1.33 b=25.138 r2=0.712336 r=-0.844 Use this to predict the number of sit ups a person who watches 10 hours of TV can do, and please round your answer to a whole number.

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The linear regression equation for predicting systolic blood pressure from age is: y = 37 +2.7"x Find the residual for a person who is 31 years of age with a systolic blood pressure of 122.7 (round your answer to one decimal place)