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DUing the above outpu, the equton of the etimated regression model a chose the coret letter from the belw 2) Uing 005 sgicance level, we conclude that the greinmedel (w valid (XI and X2 tuvel do ot have) pedicting Y) bee hetatisics i (larger i smaler) than the critical value 3) Which Pvale would you etet if XI has an effect over Y?Pvalae 4) What is de cfficient of multiple detemination Answer 5) Wati the al

DUing the above outpu, the equton of the etimated regression model a chose the coret letter from the belw 2) Uing 005 sgicance level, we conclude that the greinmedel (w valid (XI and X2 tuvel do ot have) pedicting Y) bee hetatisics i (larger i smaler) than the critical value 3) Which Pvale would you etet if XI has an effect over Y?Pvalae 4) What is de cfficient of multiple detemination Answer 5) Wati the al

MATLAB: An Introduction with Applications
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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12.3 Coefficents Tem Coef SE Coel TValue PVaue VIF Conatan 362 10 60 0 002 X1 6.42 0.008 264 111 0 0434 0.0n2 244 ) Uning the above output, the equation of the estimated regression model is choose the correct letter from the li below b)Y-362+0.566XI 0.0434X2 ) Y-106-642XI -257X2 doY-29787.5+ 457 XI+ 30243 3X2 2) Using 005 significance level, we conclude that the egression model (iv is not) valid (XI andd X2 Chavel do not have) a joint effect in predieting Y) because the st atistice is (larger / smaller) than the critical value- ) Which P-value would youu use to test if XI has an effect over Y? P-value 4) What is the coefficient of maltiple determination? Answer 5) What is the value of the mean square error? Answer
Transcribed Image Text:12.3 Coefficents Tem Coef SE Coel TValue PVaue VIF Conatan 362 10 60 0 002 X1 6.42 0.008 264 111 0 0434 0.0n2 244 ) Uning the above output, the equation of the estimated regression model is choose the correct letter from the li below b)Y-362+0.566XI 0.0434X2 ) Y-106-642XI -257X2 doY-29787.5+ 457 XI+ 30243 3X2 2) Using 005 significance level, we conclude that the egression model (iv is not) valid (XI andd X2 Chavel do not have) a joint effect in predieting Y) because the st atistice is (larger / smaller) than the critical value- ) Which P-value would youu use to test if XI has an effect over Y? P-value 4) What is the coefficient of maltiple determination? Answer 5) What is the value of the mean square error? Answer
The Municipality of a city wants to estimate the daily expenditure of the fuel consumption for the city's garbage removal. The city contains a business part and a residential part. City officers believe that, the amount of the fuel Y (in thousands of liters) depends on the weight of the garbage (in Tons) in the two parts of city xt (business part) and x2 (residential part). It has been decided to use a regression model to estimate the daily amount of fuel consumption, and Minitab has produced the following output. Analysis of Variance Source DF Ad SS Ad MS F-Value PValue Regression 2 29787.5 0 002 Eror 5 30245 3 Model Summary Total S Rsg Rsglad) R-salpred) 12.3539 Coefficients Term Coef SE Coef T-Value P.Value VIF Constant 383 8 36.2 10 60 0 002 X1 3.638 0.566 6.42 0.008 264 X2 0.1117 0.0434 2.57 0.082 264 1) Using the above output, the equation of the estimated regression model is a) Y- 383.8 - 3.638XI -0.1117X2 b) Y- 36.2 +0566XI + 0.0434X2 c) Y- 10.6 -6 42X1 -2.57X2 choose the correct letter from the list below:
Transcribed Image Text:The Municipality of a city wants to estimate the daily expenditure of the fuel consumption for the city's garbage removal. The city contains a business part and a residential part. City officers believe that, the amount of the fuel Y (in thousands of liters) depends on the weight of the garbage (in Tons) in the two parts of city xt (business part) and x2 (residential part). It has been decided to use a regression model to estimate the daily amount of fuel consumption, and Minitab has produced the following output. Analysis of Variance Source DF Ad SS Ad MS F-Value PValue Regression 2 29787.5 0 002 Eror 5 30245 3 Model Summary Total S Rsg Rsglad) R-salpred) 12.3539 Coefficients Term Coef SE Coef T-Value P.Value VIF Constant 383 8 36.2 10 60 0 002 X1 3.638 0.566 6.42 0.008 264 X2 0.1117 0.0434 2.57 0.082 264 1) Using the above output, the equation of the estimated regression model is a) Y- 383.8 - 3.638XI -0.1117X2 b) Y- 36.2 +0566XI + 0.0434X2 c) Y- 10.6 -6 42X1 -2.57X2 choose the correct letter from the list below:
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