Answer the following questions relating to information below. Which of the above variables are NOT significant...

 

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Answer the following questions relating to information below. Which of the above variables are NOT significant at the .05 level. (Hint: The t-statistic is already calculated for you! The column "Standard Error" is the standard error of the coefficient.) b. C. d. e. f. Calculate a.95 confidence interval around OPRCH and CPRCH. What does this interval mean? What would the value of a house be if it had the following characteristics? TOTACR .75 TOTLIV 2750 TOTFIX ATGAR DETGAR DECK CARPOT ASGRHS OPRCH CPRCH PATIO ||||||||||||||||||| 9 750 0 750 0 0 450 0 450 Calculate the .95 confidence interval around the estimate made in c? (Hint: Your S is "Root MSE".) What does this interval mean? If the model had been based on 75 sales, how many degrees of freedom would you have? In building a model, should you use the "adjusted R2" or the value for "R2" in determining the best model? Explain. Source Model Error Corrected Total Variable Intercept TOTACR TOTLIV TOTFIX ATGAR DETGAR DECK CARPOT ASGRHS OPRCH CPRCH PATIO Root MSE Dependent Mean Coeff Var DF 1 1 1 1 DF 1 11 1339 1350 1.518728E12 6.0623E11 2.124958E12 Sum of Squares 21278 111584 19.06896 Parameter Estimate 15631 24679 Parameter Estimates 28.01101 3688.61867 43.07726 10.69155 33.51158 -6.98141 19.13078 35.32360 12.24495 9.27199 1.380662E11 452748353 R-Square Adj R-Sq Standard Error Mean Square 2295.99128 3435.82942 1.30109 364.73392 3.24008 3.48739 6.29367 15.27181 18.85621 8.65019 11.48151 3.13047 t Value 0.7147 0.7124 6.81 7.18 F Value. 21.53 10.11 13.30 3.07 5.32 -0.46 1.01 4.08 1.07 2.96 304.95 Pr > F <.0001 Pr> |t| <.0001 <.0001 <.0001 <.0001 <.0001 0.0022 <.0001 0.6476 0.3105 <.0001 0.2864 0.0031 Answer the following questions relating to information below. Which of the above variables are NOT significant at the .05 level. (Hint: The t-statistic is already calculated for you! The column "Standard Error" is the standard error of the coefficient.) b. C. d. e. f. Calculate a.95 confidence interval around OPRCH and CPRCH. What does this interval mean? What would the value of a house be if it had the following characteristics? TOTACR .75 TOTLIV 2750 TOTFIX ATGAR DETGAR DECK CARPOT ASGRHS OPRCH CPRCH PATIO ||||||||||||||||||| 9 750 0 750 0 0 450 0 450 Calculate the .95 confidence interval around the estimate made in c? (Hint: Your S is "Root MSE".) What does this interval mean? If the model had been based on 75 sales, how many degrees of freedom would you have? In building a model, should you use the "adjusted R2" or the value for "R2" in determining the best model? Explain. Source Model Error Corrected Total Variable Intercept TOTACR TOTLIV TOTFIX ATGAR DETGAR DECK CARPOT ASGRHS OPRCH CPRCH PATIO Root MSE Dependent Mean Coeff Var DF 1 1 1 1 DF 1 11 1339 1350 1.518728E12 6.0623E11 2.124958E12 Sum of Squares 21278 111584 19.06896 Parameter Estimate 15631 24679 Parameter Estimates 28.01101 3688.61867 43.07726 10.69155 33.51158 -6.98141 19.13078 35.32360 12.24495 9.27199 1.380662E11 452748353 R-Square Adj R-Sq Standard Error Mean Square 2295.99128 3435.82942 1.30109 364.73392 3.24008 3.48739 6.29367 15.27181 18.85621 8.65019 11.48151 3.13047 t Value 0.7147 0.7124 6.81 7.18 F Value. 21.53 10.11 13.30 3.07 5.32 -0.46 1.01 4.08 1.07 2.96 304.95 Pr > F <.0001 Pr> |t| <.0001 <.0001 <.0001 <.0001 <.0001 0.0022 <.0001 0.6476 0.3105 <.0001 0.2864 0.0031

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Lets address each question stepbystep a Were interested in finding which variables are NOT significant at the 05 level To do this we can look at the Pr t values for each variables tstatistic and deter... View the full answer