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:  Write out the regression equation. Fill in the missing values, *, **, and ***. Use the p-value approach to determine if the minuscule is significant at the 5% significance level. Is y significantly different from -0.5? Perform the F test at the 1% level, making sure to state the null and alternative hypotheses. Give an interpretation of 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
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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:

  1.  Write out the regression equation.
  2. Fill in the missing values, *, **, and ***.
  3. Use the p-value approach to determine if the minuscule is significant at the 5% significance level.
  4. Is significantly different from -0.5?
  5. Perform the F test at the 1% level, making sure to state the null and alternative hypotheses.
  6. Give an interpretation of the term "R-sq" and comment on its value.
mo output
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
SS
MS
F
***
****
Regression
76501718347
25500572782
Residual
96
60109046053
626135896
Transcribed Image Text:mo output 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 SS MS F *** **** Regression 76501718347 25500572782 Residual 96 60109046053 626135896
Error
Total
99
Transcribed Image Text:Error Total 99
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