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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 }+ε

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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 }+ε 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 5DsvT Constant a6.154.11π13.51b1.25x20.710.30c\begin{array} { | c | c c c | } \hline \text { predictor } & \text { Coef } & \mathbf { 5 } \mathrm { D } _ { \mathbf { s } } \boldsymbol { v } & \boldsymbol { T } \\\hline \text { Constant } & \boldsymbol { a } & \mathbf { 6 . 1 5 } & 4.11 \\\boldsymbol { \pi } _ { 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 d5MSF Repression 2412Ei Error 37fH Total 39974\begin{array} { | l | c c c c | } \hline \text { Source of Variation } & \boldsymbol { d } & \mathbf { 5 } & \boldsymbol { M S } & \boldsymbol { F } \\\hline \text { Repression } & 2 & 412 & \boldsymbol { E } & \boldsymbol { i } \\\text { Error } & 37 & \boldsymbol { f } & \boldsymbol { H } & \\\hline \text { Total } & 39 & 974 & & \\\hline\end{array}


Definitions:

Equivalent Units

A measure used in costing inventories under the process costing system, converting partially completed units into a number of equivalent full units.

Work In Process Inventory

The valuation of partially finished goods that are still in the production process at the end of an accounting period.

First-In, First-Out

An inventory valuation method where the oldest inventory items are recorded as sold first, reflecting the flow of goods.

Conversion Cost

The sum of direct labor and manufacturing overhead costs, representing the expenses required to convert raw materials into finished products.

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