A statistical program is recommended. You may need to use the appropriate technology to answer this question. Suppose the average monthly residential natural gas bill in a certain town is $67.95. How is the average monthly gas bill for a home in this town related to the square footage, number of rooms, and age of the home? The following tables shows the average monthly gas bill over the past year, square footage, number of rooms, and age for a sample of 20 homes. Rooms Average Monthly Gas Bill for Last Year $70.20 $81.33 $45.86 $59.21 $117.88 $55.78 $47.01 $52.89 $32.90 $67.04 Average Monthly Gas Bill for Last Year $76.76 $60.40 $44.07 $24.68 $62.70 $45.37 $38.09 $45.31 $52.45 $98.11 Age 16 2 27 16 12 1,713 3,979 1,328 2 4 27 1,251 12 Age 645 29 2,849 1 26 20 Square Footage 2,537 3,457 13 976 22 23 827 27 Square Footage 17 1,441 2,412 900 1,386 1,299 10 2,140 542 908 1,568 1,140 6 8 6 7 10 7 6 5 4 5 Rooms 7 6 5 4 6 4 4 6 5 10 (a) Develop an estimated regression equation that can be used to predict a residence's average monthly gas bill for last year given its age. (Use x, for age. Round your numerical values to four decimal places.) 9-60.4261+-0.0953x₁ (b) Develop an estimated regression equation that can be used to predict a residence's average monthly gas bill for last year given its age, square footage, and number of rooms. (Use x, for square footage and x, for number of rooms. Round your numerical values to four decimal places.) -11.2082 +0.0947x₁ +0.00575x2 +9.2679xx (c) At the 0.05 level of significance, test whether the two independent variables added in part (b), the square footage and the number of rooms, contribute significantly to the estimated regression equation developed in part (a). State the null and alternative hypotheses. Ho: ₂-₂-0 H: One or more of the parameters is not equal to zero. OH: One or more of the parameters is not equal to zero. H₂:1₂-1₂-0 Ho: P₂-1₂-0 H: One or more of the parameters is not equal to zero. OH: One or more of the parameters is not equal to zero. Find the value of the test statistic. (Round your answer to two decimal places.) 36.05 x Find the p-value. (Round your answer to four decimal places.) p-value=0.0000 Is the addition of the interaction term and the smoker variable significant? O Reject Ho- We conclude that the addition of the two independent variables are statistically significant. O Reject H. We conclude that the addition of the two independent variables are not statistically significant. Do not reject Ho We conclude that the addition of the two independent variables are statistically significant. O Do not reject Ho. We conclude that the addition of the two independent variables are not statistically significant.
A statistical program is recommended. You may need to use the appropriate technology to answer this question. Suppose the average monthly residential natural gas bill in a certain town is $67.95. How is the average monthly gas bill for a home in this town related to the square footage, number of rooms, and age of the home? The following tables shows the average monthly gas bill over the past year, square footage, number of rooms, and age for a sample of 20 homes. Rooms Average Monthly Gas Bill for Last Year $70.20 $81.33 $45.86 $59.21 $117.88 $55.78 $47.01 $52.89 $32.90 $67.04 Average Monthly Gas Bill for Last Year $76.76 $60.40 $44.07 $24.68 $62.70 $45.37 $38.09 $45.31 $52.45 $98.11 Age 16 2 27 16 12 1,713 3,979 1,328 2 4 27 1,251 12 Age 645 29 2,849 1 26 20 Square Footage 2,537 3,457 13 976 22 23 827 27 Square Footage 17 1,441 2,412 900 1,386 1,299 10 2,140 542 908 1,568 1,140 6 8 6 7 10 7 6 5 4 5 Rooms 7 6 5 4 6 4 4 6 5 10 (a) Develop an estimated regression equation that can be used to predict a residence's average monthly gas bill for last year given its age. (Use x, for age. Round your numerical values to four decimal places.) 9-60.4261+-0.0953x₁ (b) Develop an estimated regression equation that can be used to predict a residence's average monthly gas bill for last year given its age, square footage, and number of rooms. (Use x, for square footage and x, for number of rooms. Round your numerical values to four decimal places.) -11.2082 +0.0947x₁ +0.00575x2 +9.2679xx (c) At the 0.05 level of significance, test whether the two independent variables added in part (b), the square footage and the number of rooms, contribute significantly to the estimated regression equation developed in part (a). State the null and alternative hypotheses. Ho: ₂-₂-0 H: One or more of the parameters is not equal to zero. OH: One or more of the parameters is not equal to zero. H₂:1₂-1₂-0 Ho: P₂-1₂-0 H: One or more of the parameters is not equal to zero. OH: One or more of the parameters is not equal to zero. Find the value of the test statistic. (Round your answer to two decimal places.) 36.05 x Find the p-value. (Round your answer to four decimal places.) p-value=0.0000 Is the addition of the interaction term and the smoker variable significant? O Reject Ho- We conclude that the addition of the two independent variables are statistically significant. O Reject H. We conclude that the addition of the two independent variables are not statistically significant. Do not reject Ho We conclude that the addition of the two independent variables are statistically significant. O Do not reject Ho. We conclude that the addition of the two independent variables are not statistically significant.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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