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A Statistician Wanted to Determine Whether the Demographic Variables of Age

question 114

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 y=y = 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} S = 4.51 R-Sq = 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 } & \text { 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} Test the overall validity of the model at the 5% significance level.


Definitions:

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A genus of annual or perennial, mostly herbaceous plants in the sunflower family, known for their vibrant yellow or orange flowers.

Implicit Cost

The opportunity cost equal to what a firm must give up in order to use resources that it already owns, as opposed to explicit costs that are directly paid.

Future Earnings

Projected income that an entity or individual anticipates receiving over a specified future period, often used in valuation or investment analysis.

Migration

The movement of individuals or groups from one location to another, often in pursuit of better living conditions, job opportunities, or safety.

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