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A Statistician Estimated the Multiple Regression Model y=β0+β1x1+β2x2+εy = \beta _ { 0 } + \beta _ { 1 } x _ { 1 } + \beta _ { 2 } x _ { 2 } + \varepsilon

question 40

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A statistician estimated the multiple regression model y=β0+β1x1+β2x2+εy = \beta _ { 0 } + \beta _ { 1 } x _ { 1 } + \beta _ { 2 } x _ { 2 } + \varepsilon , with 45 observations. The computer output 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 l. Fill in the missing results (up to three decimal places).  Predictor  Coef  StDev t Constant 2.794a6.404x1b0.0070.025x20.3830.072c\begin{array} { | c | c c c | } \hline \text { Predictor } & \text { Coef } & \text { StDev } & t \\\hline \text { Constant } & 2.794 & a & 6.404 \\x _ { 1 } & b & 0.007 & - 0.025 \\x _ { 2 } & 0.383 & 0.072 & c \\\hline\end{array} se = d R2 = e.  ANALYSIS OF VARIANCE  Source of  Variation  df  SS  MS  F  Regression fijl Error g11.884k Total h26.887\begin{array}{l}\text { ANALYSIS OF VARIANCE }\\\begin{array} { | l | c c c c | } \hline \begin{array} { l } \text { Source of } \\\text { Variation }\end{array} & \text { df } & \text { SS } & \text { MS } & \text { F } \\\hline \text { Regression } & f & i & j & l \\\text { Error } & g & 11.884 & k & \\\hline \text { Total } & h & 26.887 & & \\\hline\end{array}\end{array}


Definitions:

Merchandise Purchases

Transactions involving the buying of goods for resale by a retailer, wholesaler, distributor, or similar entity.

Merchandise Inventory

Goods that a company holds for the purpose of resale in the ordinary course of business, often considered as current assets on the balance sheet.

Cost of Goods Sold

Expenses directly arising from the production of goods a company offers for sale, involving labor and materials.

Direct Costs

Costs that can be traced directly to the production of specific goods or services, such as raw materials and labor.

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