The following estimated regression equation is based on 10 observations was presented.ŷ 29.1270 +0.59061 +0.498022Here SST 6,885.875, SSR = 6,231.500, sb ==0.0728, and 8 = 0.0540.a. Compute MSR and MSE (to 3 decimals).MSR:MSE:b. Compute F and perform the appropriate F test (to 2 decimals). Use a = 0.05. Use the F table.F=The p-value is - Select your answer -At a = 0.05, the overall model is Select your answer - Vc. Perform a t test for the significance of B₁ (to 2 decimals). Use a = 0.05. Use the t table.to=The p-value is -Select your answer -At a= 0.05, there is - Select your answer-relationship between y and ₁.d. Perform a t test for the significance of B₂ (to 2 decimals). Use a = 0.05. Use the t table.to₂ =The p-value is - Select your answer -At a = 0.05, there is Select your answer-relationship between y and #₂.

Answered: Image /qna-images/answer/aa6900b9-f28d-4bff-b2fc-ce492c2f65b1.jpg

Answered: The following estimated regression…

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.
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=5.865 b=25.06 r²=0.81 r=0.9 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 test scores (y ). The results of the regression were:y=ax+ba=5.931b=20.1r2=0.748225r=0.865Use this to predict the final exam score of a student who studies 3 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 TV watched per day (x) and number of situps a person can do (y).The results of the regression were:y=ax+b a=-0.982 b=31.084 r2=0.471969 r=-0.687 Use this to predict the number of situps a person who watches 13.5 hours of TV can do (to one decimal place)
Pls answer within 30 minutes to 1hr.
B1
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=-1.113 b=31.204 r2=0.866761 r=-0.931 Use this to predict the number of situps a person who watches 9.5 hours of TV can do (to one decimal place)
The following estimated regression equation is based on 10 observations was presented. ŷ = 29.1270 + 0.590601 + 0.4980x2 Here SST = 6,898.250, SSR = 6,009.500, S, = 0.0712, and S, = 0.0566. a. Compute MSR and MSE (to 3 decimals). MSR MSE b. Compute F and perform the appropriate F test (to 2 decimals). Use a = 0.05. Use the F table. F= The p-value is Select your answer - At a = 0.05, the overall model is -Select your answer - c. Perform a t test for the significance of 61 (to 2 decimals). Use a = 0.05. Use the t table. The p-value is Select your answer - At a = 0.05, there is - Select your answer- v relationship between y and a1. d. Perform a t test for the significance of 82 (to 2 decimals). Use a = 0.05. Use the t table. The p-value is Select your answer - At a = 0.05, there is - Select your answer - v relationship between y and 2.
An automobile rental company wants to predict the yearly maintenance expense (Y) for an automobile using the number of miles driven during the year () and the age of the car (, in years) at the beginning of the year. The company has gathered the data on 10 automobiles and run a regression analysis with the results shown below:. Summary measures Multiple R 0.9689 R-Square 0.9387 Adj R-Square 0.9212 StErr of Estimate 72.218 Regression coefficients Coefficient Std Err t-value p-value Constant 33.796 48.181 0.7014 0.5057 Miles Driven 0.0549 0.0191 2.8666 0.0241 Age of car 21.467 20.573 1.0434 0.3314 Use the information above to estimate the annual maintenance expense for a 10 years old car with 60,000 miles.
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?
A regression was run to determine if there is a relationship between hours of TV watched per day (xx) and number of situps a person can do (yy).The results of the regression were:y=ax+b a=-0.629 b=39.045 r2=0.806404 r=-0.898 Use this to predict the number of situps a person who watches 6.5 hour(s) of TV can do, and please round your answer to a whole number.

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