Consider the following multiple regression Price = 118.8 +0.554BDR+23.8Bath +0.144Hsize +0.005L size + 0.104 Age-48.8 Poor, R² =0.79, SER=41.1 (23.8) (2.69) (8.92) (0.016) (0.00046) (0.382) (10.9) The numbers in parentheses below each estimated coefficient are the estimated standard errors. A detailed description of the variables used in the data set is available here Suppose you wanted to test the hypothesis that BDR equals zero. That i Report the t-statistic for this test. Is the coefficient on BDR statistically different from zero at the 5% significance level? OA. Yes. B. No. Ho: BDR=0 vs H₁: BDR#0 A. Yes. OB. No. The t-statistic is 0.206 (Round your response to three decimal places) Typically five-bedroom houses sell for much more than two-bedroom houses. Is this consistent with your previous answer and with the regression more generally? A homeowner purchases 2391 square feet from and adjacent lot. Construct a 95% confidence interval for the change in the value of her house. The 95% confidence interval for the change in the value of the home is [. (Round your response to two decimal places)
Consider the following multiple regression Price = 118.8 +0.554BDR+23.8Bath +0.144Hsize +0.005L size + 0.104 Age-48.8 Poor, R² =0.79, SER=41.1 (23.8) (2.69) (8.92) (0.016) (0.00046) (0.382) (10.9) The numbers in parentheses below each estimated coefficient are the estimated standard errors. A detailed description of the variables used in the data set is available here Suppose you wanted to test the hypothesis that BDR equals zero. That i Report the t-statistic for this test. Is the coefficient on BDR statistically different from zero at the 5% significance level? OA. Yes. B. No. Ho: BDR=0 vs H₁: BDR#0 A. Yes. OB. No. The t-statistic is 0.206 (Round your response to three decimal places) Typically five-bedroom houses sell for much more than two-bedroom houses. Is this consistent with your previous answer and with the regression more generally? A homeowner purchases 2391 square feet from and adjacent lot. Construct a 95% confidence interval for the change in the value of her house. The 95% confidence interval for the change in the value of the home is [. (Round your response to two decimal places)
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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Transcribed Image Text:Consider the following multiple regression
Price = 118.8 + 0.554BDR+23.8Bath +0.144Hsize +0.005Lsize +0.104Age - 48.8Poor, R² = 0.79, SER = 41.1
(0.00046) (0.382) (10.9)
(23.8)
(2.69) (8.92)
(0.016)
The numbers in parentheses below each estimated coefficient are the estimated standard errors. A detailed description of the variables used in the data set is available here i
Suppose you wanted to test the hypothesis that BDR equals zero. That is,
Report the t-statistic for this test.
Is the coefficient on BDR statistically different from zero at the 5% significance level?
A. Yes.
B. No.
Ho: BDR=0 vs H₁: BDR#0
A. Yes.
B. No.
The t-statisticis 0.206
(Round your response to three decimal places)
Typically five-bedroom houses sell for much more than two-bedroom houses. Is this consistent with your previous answer and with the regression more generally?
A homeowner purchases 2391 square feet from and adjacent lot. Construct a 95% confidence interval for the change in the value of her house.
The 95% confidence interval for the change in the value of the home is
(Round your response to two decimal places)
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