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Suppose we estimate the regression coeicients in a linear regression model b},F minimizing residual sums of square R33 subject to for a particular 1value of

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Suppose we estimate the regression coeicients in a linear regression model b},F minimizing residual sums of square R33 subject to for a particular 1value of 3. After standardizing all four predictors, we nd that the least square regression model estimates of g, ,51, g, Jr33 and ,34 are D.35, 0.15, U.23, 1.10, and H.53, respectively, with R35 2 103.5 and total sums of square, T33 = 512.4. (a) 1FWhat would happen to the HSS when 5 decreases from 2 to l]? Justify your answers. (b) 1'What would most likel],F happen to the value of 31 when s decreases from 2 to D? .lustifj,r your answers

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