errortotal 99(d). Is ϒ significantly different fron -0.5?(e). Perform the f test at the 1% level,making sure to state the null and alternative hypothesis. (f). Give an interpretation to the term "R-sq" and comment on its value. Bluereef real estate agent wants to form a relationship between the prices of houses, how manybedrooms, 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 extractof the output obtained:The regression equation is Price = B+ Bedroom + yHouse Size + ALot Size%3DPredictorCoefSE CoefTP.Constant37718141772.66**Bedrooms230669940.33 0.742House Size74.352.980.164Lot Size-4.3617.02-0.26 0.798S= 25023R-Sq=56.0%R-Sq (adj)=54.6%DFSSMSF PSource*******376501718347 25500572782Regression9660109046053 626135896ResidualPage 28 of 37

error total 99 (d). Is ϒ significantly different fron -0.5? (e). Perform the f test at the 1% level,making sure to state the null and alternative hypothesis. (f). Give an interpretation to the term "R-sq" and comment on its value.

error total 99 (d). Is ϒ significantly different fron -0.5? (e). Perform the f test at the 1% level,making sure to state the null and alternative hypothesis. (f). Give an interpretation to the term "R-sq" and comment on its value.

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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Question

100%

error

total 99

(d). Is ϒ significantly different fron -0.5?

(e). Perform the f test at the 1% level,making sure to state the null and alternative hypothesis.

(f). Give an interpretation to the term "R-sq" and comment on its value.

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
%3D
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%
DF
SS
MS
F P
Source
***
****
3
76501718347 25500572782
Regression
96
60109046053 626135896
Residual
Page 28 of 37

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