14The relationship between x = temperature in degrees Fahrenheit and y = chirps per minute for the striped ground cricket, issummarized with the regression line y = -0.31 + 0.212x. For this model, technology gives s = 0.97 and = 0.697.Interpret the value of s.O 97% of the variability in chirps per minute is accounted for by the least-squares regression line with x = temperature indegrees Fahrenheit.O The actual number of chirps per minute is typically about 0.97 less than the number predicted by the least-squaresregression line with x = temperature in degrees Fahrenheit.O The value 0.97 indicates that the linear relationship between temperature and chirps per minute is strong and positive.O The actual number of chirps per minute is typically about 0.97 more than the number predicted by the leäst-squaresregression line with x temperature in degrees Fahrenheit.O The actual number of chirps per minute is typically about 0.97 away from the number predicted by the least-squaresregression line with x temperature in degrees Fahrenheit.

Given that the value of s is 0.97. That is, the value 0.97 represents the standard deviation. Here,…

Answered: The relationship between x =…

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 TV watched per day (x) and number of situps a person can do (y). The results of the regression were: y=ax+b a=-0.698 b=37.226 r2=0.799236 r=-0.894 Use this to predict the number of situps a person who watches 14 hours of TV can do (to one decimal place)
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.
Describe in detail about regression lines?
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.
The estimated regression equation for a model involving two independent variables and 10 observations follows. y = 33.0798 + 0.6071x1 + 0.7058x2 a. Interpret b₁ and b2 in this estimated regression equation (to 4 decimals). b₁ = - Select your answer - b₂ = - Select your answer - b. Estimate y when *₁ = 180 and ₂ = 310 (to 3 decimals).
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=5.614 b=32.79 r2=0.808201 r=0.899 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.

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