A multiple linear regression model basal on sample of 21 weeks is developed to p

Question

A multiple linear regression model basal on sample of 21 weeks is developed to predict stand by hours based on the total staff present and remote hours. The SSR is 29, 926.17 and the SSE is 41, 580.08 mu_0 = H_1 = F Stat= P-value = since the P value is _______ than the level of significance, ___________the null hypothesis. There is __________ evidence to conclude there is a linear relationship interpret the meaning the P value compute the coefficient of multiple determination, r^2 and interpret its meaning r^2 = The coefficient of multiple determination indicates that _________________% of the variation in __________ can be explained by the variation in _______________ Compute the adjusted r^2 r^2_adj =

Explanation / Answer

Ho: all the coefficients of linear regression is equal to 0.

Ha: at least one of them is not equal to 0.

Fstat =6.1177

p value =0.0100

p value is less then...significnce reject the null..........suffiicient..............

r2 =SSR/SST =0.4185

indicates that41.85% ...standby hours...............staff present and remote hours

r2adj =1-MSE/MST =1-(29926.17/2)/(71506.25/20)=0.3159

Source of Variation SS df MS F P-value regression 29926.17 2 14963.09 6.117652 0.0100 residual 41580.08 17 2445.887 Total 71506.25 20

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