Question: A regression analysis is performed using data for 24 ?single-family homes to predict appraised value?(in thousands of?dollars) based on land area of the property?(in acres),

 A regression analysis is performed using data for 24 ?single-family homes

A regression analysis is performed using data for 24 ?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. This is the question 2 parts A and B

to predict appraised value?(in thousands of?dollars) based on land area of theproperty?(in acres), X1i?, and age?(in years), X2i?, in month i. Use the

A regression analysis is performed using data for 24 single-family homes to predict appraised value (in thousands of dollars) based on land area of the property (in acres), X\". and age (in years). X2i, in month i. Use the results below to complete parts (a) and (b) below. Standard Variable Coefficient Error t Statistic p-value Intercept 406.44304 52.13095 7.80 0.0000 Area. X1 457.69043 119.94481 3.82 0.0010 A99. X2 2.82438 0.73897 3.82 0.0010 b. At the 0.05 level of signicance, determine whether each independent variable makes a signicant contribution to the regression model. On the basis of these results, indicate the independent variables to include in this model. Choose the correct hypotheses for X1 below. CC. H0:1=1 OD. H0.]31#0 Find the test statistic. tSTAT = D (Round to two decimal places as needed.) Determine the p-value. p-value = D (Round to four decimal places as needed.) Reach a conclusion. Choose the correct answer below. E H0. There IE sufcient evidence that X1 makes a signicant contribution to the regression model. Choose the correct hypotheses for X2 below. A regression analysis is performed using data for 24 single-family homes to predict appraised value (in thousands of dollars) based on land area of the property (in acres), X1;, and age (in years), X2;, in month i. Use the results below to complete parts (a) and (b) below. Standard Variable Coefficient Error t Statistic p-value Intercept 406.44304 52.13095 7.80 0.0000 Area, X1 457.69043 119.94481 3.82 0.0010 Age, X2 - 2.82438 0.73897 - 3.82 0.0010 H1 : P 2 = 0 Hy : B2 = 1 O C. Ho: P2 = 1 OD. Ho: B2 = 0 Hy: B2 # 1 H1 : P2 # 0 Find the test statistic. STAT = (Round to two decimal places as needed.) Determine the p-value. p-value = (Round to four decimal places as needed.) Reach a conclusion. Choose the correct answer below. Ho. There sufficient evidence that X2 makes a significant contribution to the regression model. On the basis of these results, indicate the independent variables to include in this model. Choose the correct answer below. A. Include only the variable X1 . O B. Include neither variable X, nor variable X2- O C. Include both variables X, and X2. O D. Include only the variable X2. Click to select your answer(s) and then click Check Answer. (? All parts showing Clear All Check

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