The variables used in the analysis below include: house price ($1000s) – price, lot size (square feet) – lotsz, house square feet – sqft, and number of bedrooms – bdrms. Use the estimated OLS models to answer the questions below:Model A:\[ \ln(\widehat{\text{price}}) = -0.975 \, (\pm 0.641) + 0.873 \ln(\text{sqft}) \, (\pm 0.085), \]\[n = 88; \, R^2 = 0.553\]Model B:\[ \ln(\widehat{\text{price}}) = -1.297 \, (\pm 0.651) + 0.700 \ln(\text{sqft}) \, (\pm 0.093) + 0.168 \ln(\text{lotsz}) \, (\pm 0.038) + 0.037 \text{bdrms} \, (\pm 0.028), \]\[n = 88; \, R^2 = 0.643\]From Model B, test the null hypothesis that all of the slope parameters are jointly equal to zero, i.e.\[H_0: \beta_{\ln(\text{sqft})} = 0, \, \beta_{\ln(\text{lotsz})} = 0, \, \beta_{\text{bdrms}} = 0.\]Report the test statistic.

Answered: Image /qna-images/answer/5cc6753a-0d25-4b98-a372-30c035f1d875.jpg

Answered: The variables used in the analysis…

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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