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 ????? = ? + ???????? + ?????? ???? + ???? ???? 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 SS MS F P Regression 3 76501718347 25500572782 *** **** Residual Error 96 60109046053 626135896 Total 99 a) Write out the regression equation. [1] b) Fill in the missing values *, **, *** and ****. [6] c) Use the p-value approach to determine if ? is significant at the 5% significance level
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 ????? = ? + ???????? + ?????? ???? + ???? ???? 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 SS MS F P Regression 3 76501718347 25500572782 *** **** Residual Error 96 60109046053 626135896 Total 99 a) Write out the regression equation. [1] b) Fill in the missing values *, **, *** and ****. [6] c) Use the p-value approach to determine if ? is significant at the 5% significance level
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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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 ????? = ? + ???????? + ?????? ???? + ???? ????
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 SS MS F P
Regression 3 76501718347 25500572782 *** ****
Residual
Error 96 60109046053 626135896
Total 99
a) Write out the regression equation. [1]
b) Fill in the missing values *, **, *** and ****. [6]
c) Use the p-value approach to determine if ? is significant at the 5% significance level
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Transcribed Image Text: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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