A realtor used the regression model, y = beta_0 + beta_1 x 1 + beta_2 x 2 + epsi

Question

A realtor used the regression model, y = beta_0 + beta_1 x 1 + beta_2 x 2 + epsilon, to predict selling prices of homes (in thousands of $) in a Columbus suburb. The variable x_1 represents the home size (square feet), and x_2 represents the number of bedrooms. The following Excel partial output is available. If you conduct a test for the overall significance of the model, then the p-value of the test is almost zero About 0.95 Almost 1 About 1.96 A realtor used the regression model, y = beta_0 + beta_1 x 1 + beta_2 x 2 + epsilon, to predict selling prices of homes (in thousands of $) in a Columbus suburb. The variable x_1 represents the home size (square feet), and x_2 represents the number of bedrooms. The following Excel partial output is available.

Explanation / Answer

Correct Answer: a) almost zeros

The p-value is obtained by using Excel

=F.DIST.RT(92.66,2,10)

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