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A Statistician Wanted to Determine Whether the Demographic Variables of Age

question 25

Essay

A statistician wanted to determine whether the demographic variables of age, education and income influence the number of hours of television watched per week. A random sample of 25 adults was selected to estimate the multiple regression model y=β0+β1x1+β2x2+β3x3+εy = \beta _ { 0 } + \beta _ { 1 } x _ { 1 } + \beta _ { 2 } x _ { 2 } + \beta _ { 3 } x _ { 3 } + \varepsilon .
Where:
y = number of hours of television watched last week. x1x _ { 1 } = age. x2x _ { 2 } = number of years of education. x3x _ { 3 } = income (in $1000s).
The computer output is shown below.
THE REGRESSION EQUATION IS
ŷ = 22.3+0.41x10.29x20.12x322.3 + 0.41 x _ { 1 } - 0.29 x _ { 2 } - 0.12 x _ { 3 }  Predictor  Coef  StDev T Constant 22.310.72.084x10.410.192.158x20.290.132.231x30.120.034.00\begin{array} { | c | c c c | } \hline \text { Predictor } & \text { Coef } & \text { StDev } & \mathrm { T } \\\hline \text { Constant } & 22.3 & 10.7 & 2.084 \\x _ { 1 } & 0.41 & 0.19 & 2.158 \\x _ { 2 } & - 0.29 & 0.13 & - 2.231 \\x _ { 3 } & - 0.12 & 0.03 & - 4.00 \\\hline\end{array} se = 4.51 R2 = 34.8%.  ANALYSIS OF VARIANCE  Source of Variation df SS  MS  F  Regression 322775.6673.730 Error 2142620.286 Total 24653\begin{array}{l}\text { ANALYSIS OF VARIANCE }\\\begin{array} { | l | c c c c | } \hline \text { Source of Variation } & \mathrm { df } & \text { SS } & \text { MS } & \text { F } \\\hline \text { Regression } & 3 & 227 & 75.667 & 3.730 \\\text { Error } & 21 & 426 & 20.286 & \\\hline \text { Total } & 24 & 653 & & \\\hline\end{array}\end{array} Interpret the coefficient b2b _ { 2 } .


Definitions:

Net Realizable Value

The estimated selling price of an asset in the ordinary course of business minus any costs of completion, transportation, and necessary selling expenses.

Direct Costs of Disposal

The expenses directly linked to the process of disposing of an asset, including sales fees and legal costs.

Decreasing Costs

A situation where the expenses of producing a good or service fall over time, typically due to efficiency improvements or economies of scale.

LIFO Method

An inventory valuation method called "Last In, First Out," where the cost of the most recently purchased items is the first to be expensed as cost of goods sold.

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