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 %3D Сoef 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 76501718347 25500572782 626135896 *** **** Regression Residual 96 60109046053 Page 28 of 37
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 %3D Сoef 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 76501718347 25500572782 626135896 *** **** Regression Residual 96 60109046053 Page 28 of 37
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
d.Is ϒ significantly different from -0.5
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+ OBedroom + yHouse Size + ALot Size
Predictor
Coef
SE Coef
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%
DF
SS
MS
F
Source
***
****
3.
76501718347 25500572782
Regression
96
60109046053 626135896
Residual
Page 28 of 37
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