Question: A regression analysis is performed using data for 32 single-family homes to predict appraised value (in thousands of dollars) based on land area of the

 A regression analysis is performed using data for 32 single-family homesto predict appraised value (in thousands of dollars) based on land areaof the property (in acres), X1i, and age (in years), X2i, in

month i. Use the results below to complete parts (a) and (b)

below. a. Construct a 95% confidence interval estimate of the population slope

A regression analysis is performed using data for 32 single-family homes to predict appraised value (in thousands of dollars) based on land area of the property (in acres), X1i, and age (in years), X2i, in month i. Use the results below to complete parts (a) and (b) below. a. Construct a 95% confidence interval estimate of the population slope between appraised value and land area. 1 (Round to five decimal places as needed.) b. At the 0.05 level of significance, determine whether each independent variable makes a significant contribution to the regression model. On the basis of these results, indicate the independent variables to include in this model. Find the test statistic. Determine the p-value. Reach a conclusion. Choose the correct answer below. is sufficient evidence that X1 makes a significant contribution to the regression model. Choose the correct hypotheses for X2 below. A. H0:2=1 B. H0:2=1 H1:2=1 H1:2=1 C. H0:2=0 D. H0:2=0 H1:2=0 H1:2=0 Find the test statistic. tSTAT= (Round to two decimal places as needed.) Determine the p-value. p-value = (Round to four decimal places as needed.)

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