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UC Davis - STA 108 Applied Statistical Methods: Regression Analysis - Sample - Q1 SSR

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1. True/False. Please explain briefly
(a). The degree of freedom for SSR in the ANOVA table for a multiple linear regression is p, which is the number of regression coefficients in the model.
(b). If the R2 of a simple linear regression, Y =  b0 + b1x+ e, is equal to 0.64, the coefficient of correlation, r, between x and Y is equal to 0.8.
(c). In a simple linear regression, Y =  b0 +  b1x + e , the 95% confidence interval for  b0, the intercept of the model, is (-0.79; 1.24). Based on this result, we conclude that, when x is zero, E(Y ) is nonzero.
(d). At least one of the four numbers below from a regression analysis is wrong: SSR(x1, x2,x3) = 312.17, SSR(x1) = 198.82, SSR(x2|x1) = 96.76, and SSR(x3|x1; x2) = 47.66. CourseNana.COM

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