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.
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.
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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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 + ØBedroom + yHouse Size + ALot Size
SE Coef
Predictor
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
***
****
96
60109046053
626135896
Transcribed Image Text:Error
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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