4. A real estate company is looking for house criteria that are often considered by families to buy a house. There are some house criteria which are frequently mentioned by the families before they buy a house: selling price, room size, no of bedroom, no of bathroom and garage size. After processing the data by using a regression, they found the following output: SUMMARY OUTPUT Regression Statistics Multiple R 0.987932065 R Square 0.976009764 Adjusted R Squ: 0.944022783 Standard Error 25.5011827 Observations ANOVA gnificance F 30.51271898 0.009156 df SS MS Regression 79370.94404 19842.73601 Residual 3 1950.930957 650.3103189 Total 81321.875 Coefficients Standard Error t Stat Pvalue Lower 95NU Intercept -50.57050093 35.80952196 -1.412208211 0.252746791 -164.532 x1(Room size) X2(# of bedroor X3 (H of bathroc -19.99072356 X4 (Garage size) 4.160482375 1.778955738 0.493559165 3.604341411 0.036649668 0.20823 49.50437318 22.31596872 2.218338527 0.113218219 -21.515 18.37997667 -1.08763596 0.35632827 -78.484 23.39990723 0.177799097 0.870208514 -78.6294 Questions: A. What is the interpretation of determination coefficient (R) and adjusted coefficient determination (R')? B. - By looking at p-value of each independent variables, which independent variable(s) is'are significant (Xi)?. What independent variables should be eliminated to get a better model? - What changes do you expect to happen to determination coefficient after the elimination? Explain the answer. C. By looking at the significant level of F test, are you still able to use the overall equation? Why? Please explain.

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4. A real estate company is looking for house criteria that are often considered by families
to buy a house. There are some house criteria which are frequently mentioned by the
families before they buy a house: selling price, room size, no of bedroom, no of bathroom
and garage size. After processing the data by using a regression, they found the following
output:
SUMMARY OUTPUT
Regression Statistics
Multiple R
R Square
Adjusted R Squa 0.944022783
0.987932065
0.976009764
Standard Error
25.5011827
Observations
ANOVA
df
SS
MS
gnificance F
Regression
79370.94404
19842.73601
30.51271898 0.009156
Residual
3
1950.930957
650.3103189
Total
81321.875
Standard Error
t Stat
Coefficients
-50.57050093
P.value
Lower 95NU
35.80952196
-1.412208211
0.252746791 -164.532
Intercept
x1(Room size)
X2( of bedroor 49.50437318
X3 (H of bathroc -19.99072356
X4 (Garage size) 4.160482375
1.778955738
0.493559165
3.604341411
0.036649668
0.20823
22.31596872
2.218338527
0.113218219
-21.515
-1.08763596
-0.177799097
18.37997667
0.35632827
-78.484
23.39990723
0.870208514 -78.6294
Questions:
A. What is the interpretation of determination coefficient (R) and adjusted coefficient
determination (R')?
B. - By looking at p-value of each independent variables, which independent variable(s)
is/are significant (Xi)?. What independent variables should be eliminated to get a
better model?
- What changes do you expect to happen to determination coefficient after the
elimination? Explain the answer.
C. By looking at the significant level of F test, are you still able to use the overall equation?
Why? Please explain.
Transcribed Image Text:4. A real estate company is looking for house criteria that are often considered by families to buy a house. There are some house criteria which are frequently mentioned by the families before they buy a house: selling price, room size, no of bedroom, no of bathroom and garage size. After processing the data by using a regression, they found the following output: SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Squa 0.944022783 0.987932065 0.976009764 Standard Error 25.5011827 Observations ANOVA df SS MS gnificance F Regression 79370.94404 19842.73601 30.51271898 0.009156 Residual 3 1950.930957 650.3103189 Total 81321.875 Standard Error t Stat Coefficients -50.57050093 P.value Lower 95NU 35.80952196 -1.412208211 0.252746791 -164.532 Intercept x1(Room size) X2( of bedroor 49.50437318 X3 (H of bathroc -19.99072356 X4 (Garage size) 4.160482375 1.778955738 0.493559165 3.604341411 0.036649668 0.20823 22.31596872 2.218338527 0.113218219 -21.515 -1.08763596 -0.177799097 18.37997667 0.35632827 -78.484 23.39990723 0.870208514 -78.6294 Questions: A. What is the interpretation of determination coefficient (R) and adjusted coefficient determination (R')? B. - By looking at p-value of each independent variables, which independent variable(s) is/are significant (Xi)?. What independent variables should be eliminated to get a better model? - What changes do you expect to happen to determination coefficient after the elimination? Explain the answer. C. By looking at the significant level of F test, are you still able to use the overall equation? Why? Please explain.
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