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A Statistician Wanted to Determine Whether the Demographic Variables of Age

question 34

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.

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Definitions:

15 to 20 Years

A time period which can refer to an age range, a duration of time for plans, or development phases.

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The degree to which individuals feel content and fulfilled in their marriage or marital relationship.

Teenage Years

The period of life between childhood and adulthood, typically considered to be the ages from 13 to 19, marked by significant physical, psychological, and social changes.

Begins to Increase

Refers to the initial stage at which a quantity starts growing or rising.

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