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The Computer Output for the Multiple Regression Model y=β0+β1x1+β2x2+ϵy = \beta _ { 0 } + \beta _ { 1 } x _ { 1 } + \beta _ { 2 } x _ { 2 } + \epsilon

Question 78

Essay

The computer output for the multiple regression model y=β0+β1x1+β2x2+ϵy = \beta _ { 0 } + \beta _ { 1 } x _ { 1 } + \beta _ { 2 } x _ { 2 } + \epsilon is shown below.However,because of a printer malfunction some of the results are not shown.These are indicated by the boldface letters a to i.Fill in the missing results (up to three decimal places).  Predictor  Coef  StDev T Constant a6.154.11x13.51b1.25x20.710.30c\begin{array}{llll}\hline \text { Predictor } & \text { Coef } & \text { StDev } & T \\\hline \text { Constant } & \boldsymbol{a} & 6.15 & 4.11 \\x_{1} & 3.51 & \boldsymbol{b} & 1.25 \\x_{2} & -0.71 & 0.30 & \boldsymbol{c} \\\hline\end{array}
S=dRSq=e\mathrm { S } = \boldsymbol { d } \quad \mathrm { R } - \mathrm { Sq } = \boldsymbol { e }
Analysis of Variance
 Source of Variation  df SSMSF Regression 2412gi Error 37fh Total 39974\begin{array}{lllll}\hline \text { Source of Variation } & \text { df } & S S & M S & F \\\hline \text { Regression } & 2 & 412 & \boldsymbol{g} & \boldsymbol{i} \\\text { Error } & 37 & \boldsymbol{f} & \boldsymbol{h} & \\\hline \text { Total } & 39 & 974 & & \\\hline\end{array} a = ____________________
b = ____________________
c = ____________________
d = ____________________
e = ____________________
f = ____________________
g = ____________________
h = ____________________
i = ____________________

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25.277; 2.808; -2.36...

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