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ß + #Bedroom + yHouse Size + ALot S -ef 18ר SE Coef T 14177 2.66 06 6994 0.33 0. .3 52.98 0. - 36 17.02 -0.26 0. R-Sq(adj)=54.6% MS 718347 25500572782 *** D46053 626135896 ation. *, *** and ****. determine if ø is significant at the 5% sign om -0.5? evel, making sure to state the null and alter term "R-sq" and comment on its value.

ß + #Bedroom + yHouse Size + ALot S -ef 18ר SE Coef T 14177 2.66 06 6994 0.33 0. .3 52.98 0. - 36 17.02 -0.26 0. R-Sq(adj)=54.6% MS 718347 25500572782 *** D46053 626135896 ation. *, *** and ****. determine if ø is significant at the 5% sign om -0.5? evel, making sure to state the null and alter term "R-sq" and comment on its value.

MATLAB: An Introduction with Applications
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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Answer question d), e),f,
Bluereef real estate agent wants to form a relationship between the prices of houses, how many bedrooms, House size in sq ft and Lot Size in sq ft. The data pertaining to 100 houses were processed using MINITAB and the following is an extract of the output obtained: The regression equation is Price = B + ¢Bedroom + yHouse Size + ALot Size Predictor Coef SE Coef T P Constant 37718 14177 2.66 ** Bedrooms 2306 6994 0.33 0.742 House Size 74.3 52.98 0.164 Lot Size -4.36 17.02 -0.26 0.798 S= 25023 R-Sq=56.0% R-Sq (adj) =54.6% Source DF MS F P Regression Residual 3 76501718347 25500572782 *** **** Error 96 60109046053 626135896 Total 99 a) Write out the regression equation. b) Fill in the missing values *, **, *** and **** c) Use the p-value approach to determine if ø is significant at the 5% significance level d) Is y significantly different from -0.5? e) Perform the F test at the 1% level, making sure to state the null and alternative hypotheses. f) Give an interpretation to the term "R-sq" and comment on its value.
Transcribed Image Text:Bluereef real estate agent wants to form a relationship between the prices of houses, how many bedrooms, House size in sq ft and Lot Size in sq ft. The data pertaining to 100 houses were processed using MINITAB and the following is an extract of the output obtained: The regression equation is Price = B + ¢Bedroom + yHouse Size + ALot Size Predictor Coef SE Coef T P Constant 37718 14177 2.66 ** Bedrooms 2306 6994 0.33 0.742 House Size 74.3 52.98 0.164 Lot Size -4.36 17.02 -0.26 0.798 S= 25023 R-Sq=56.0% R-Sq (adj) =54.6% Source DF MS F P Regression Residual 3 76501718347 25500572782 *** **** Error 96 60109046053 626135896 Total 99 a) Write out the regression equation. b) Fill in the missing values *, **, *** and **** c) Use the p-value approach to determine if ø is significant at the 5% significance level d) Is y significantly different from -0.5? e) Perform the F test at the 1% level, making sure to state the null and alternative hypotheses. f) Give an interpretation to the term "R-sq" and comment on its value.
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