Question: Consider data comprising n observations on a response variable yi, i = 1,..., n, and in- dependent variables X1, . . . , Xp. A

Consider data comprising n observations on aConsider data comprising n observations on aConsider data comprising n observations on a

Consider data comprising n observations on a response variable yi, i = 1,..., n, and in- dependent variables X1, . . . , Xp. A multiple linear regression model has been fitted using all p variables (plus intercept) and models of k variables, k

lmq4=lm(Weight Percent + Chest + Hip + Age, data=body) > anova(1mq4) Analysis of Variance Table Response: Weight Df Sum Sq Mean Sq F value Pr (>F) Percent 1 32961 32961 486.7340 lmq4=lm(Weight Percent + Chest + Hip + Age, data=body) > anova(1mq4) Analysis of Variance Table Response: Weight Df Sum Sq Mean Sq F value Pr (>F) Percent 1 32961 32961 486.7340

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