The Computer Output for the Multiple Regression Model $y = \beta _ { 0 } + \beta _ { 1 } x _ { 1 } + \beta _ { 2 } x _ { 2 } + \varepsilon$

Essay

The computer output for the multiple regression model $y = \beta _ { 0 } + \beta _ { 1 } x _ { 1 } + \beta _ { 2 } x _ { 2 } + \varepsilon$ 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). $$\begin{array} { | c | c c c | } \hline \text { Predictor } & \text { Coef } & \text { StDev } & \text { T } \\\hline \text { Constant } & \boldsymbol { a } & 0.120 & 3.18 \\x _ { 1 } & 0.068 & \boldsymbol { b } & 3.38 \\x _ { 2 } & 0.024 & 0.010 & \boldsymbol { c } \\\hline\end{array}$$ S = d R-Sq = e. $$\begin{array}{l}\text { ANALYSIS OF VARIANCE }\\\begin{array} { | l | c c c c | } \hline \text { Source of Variation } & \mathrm { df } & \mathrm { SS } & \mathrm { MS } & \mathrm { F } \\\hline \text { Regression } & 2 & 7.382 & \boldsymbol { g } & \boldsymbol { i } \\\text { Error } & 22 & f & h & \\\hline \text { Total } & 24 & 7.530 & & \\\hline\end{array}\end{array}$$