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An economist wanted to develop a multiple regression model to enable him to predict the annual family expenditure on clothes. After some consideration, he developed the multiple regression model: .
Where:
y = annual family clothes expenditure (in $1000s) = annual household income (in $1000s) = number of family members = number of children under 10 years of age
The computer output is shown below.
THE REGRESSION EQUATION IS S = 2.06 R-Sq = 59.6%. Test at the 10% significance level to determine whether annual household income and annual family clothes expenditure are linearly related.
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