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

question 93

Essay

The computer output for the multiple regression model y=β0+β1x1+β2x2+σy = \beta _ { 0 } + \beta _ { 1 } x _ { 1 } + \beta _ { 2 } x _ { 2 } + \sigma 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).
 Fredictar  Coef 5DsvT Constant a6.154.11x13.51b1.25x20.710.30c\begin{array} { | c | c c c | } \hline \text { Fredictar } & \text { Coef } & \mathbf { 5 } \mathrm { D } _ { \mathbf { s } } \boldsymbol { v } & \boldsymbol { T } \\\hline \text { Constant } & \boldsymbol { a } & \mathbf { 6 . 1 5 } & 4.11 \\\boldsymbol { x } _ { 1 } & 3.51 & \boldsymbol { b } & 1.25 \\\boldsymbol { x } _ { 2 } & - 0.71 & 0.30 & \boldsymbol { c } \\\hline\end{array} S=d R-Sq =eS = d \quad \text { R-Sq } = e ANALYSIS OF VARIANCE
 Source of Variation df5MSF Regressian 2412gi Error 37fh Total 39974\begin{array} { | l | c c c c | } \hline \text { Source of Variation } & \boldsymbol { df } & \mathbf { 5 } & \boldsymbol { M S } & \boldsymbol { F } \\\hline \text { Regressian } & 2 & 412 & \boldsymbol { g } & \boldsymbol { i } \\\text { Error } & 37 & \boldsymbol { f } & \boldsymbol { h} & \\\hline \text { Total } & 39 & 974 & & \\\hline\end{array}


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