(c) Interpret the estimated coefficients stating if they are statistically significant in explaining price of houses. Also interpret R squared. SUMMARY OUTPUT price and baths Regression Statistics Multiple R 0.382173 R Square 0.146056 Adjusted F 0.137765 Standard E 0.364917 Observatio ANOVA df Regression Residual Total 105 SS MS F ignificance F 1 2.345936 2.345936 17.61679 5.75E-05 103 13.71597 0.133165 104 16.0619 Coefficientstandard Err t Stat P-value Lower 95% Upper 95%.ower 95.0%/pper 95.0% 1.375992 0.171692 8.014289 1.8E-12 1.03548 1.716503 1.03548 1.716503 X Variable 0.003188 0.00076 4.197236 5.75E-05 0.001682 0.004695 0.001682 0.004695 Intercept
(c) Interpret the estimated coefficients stating if they are statistically significant in explaining price of houses. Also interpret R squared. SUMMARY OUTPUT price and baths Regression Statistics Multiple R 0.382173 R Square 0.146056 Adjusted F 0.137765 Standard E 0.364917 Observatio ANOVA df Regression Residual Total 105 SS MS F ignificance F 1 2.345936 2.345936 17.61679 5.75E-05 103 13.71597 0.133165 104 16.0619 Coefficientstandard Err t Stat P-value Lower 95% Upper 95%.ower 95.0%/pper 95.0% 1.375992 0.171692 8.014289 1.8E-12 1.03548 1.716503 1.03548 1.716503 X Variable 0.003188 0.00076 4.197236 5.75E-05 0.001682 0.004695 0.001682 0.004695 Intercept
College Algebra (MindTap Course List)
12th Edition
ISBN:9781305652231
Author:R. David Gustafson, Jeff Hughes
Publisher:R. David Gustafson, Jeff Hughes
Chapter4: Polynomial And Rational Functions
Section4.6: Rational Functions
Problem 11SC: Find the mean hourly cost when the cell phone described above is used for 240 minutes.
Related questions
Question
![(c) Interpret the estimated coefficients stating if they are statistically significant in explaining
price of houses. Also interpret R squared.
SUMMARY OUTPUT price and baths
Regression Statistics
Multiple R 0.382173
R Square
0.146056
Adjusted F 0.137765
Standard E 0.364917
Observatio
ANOVA
df
Regression
Residual
Total
105
SS
MS
F ignificance F
1 2.345936 2.345936 17.61679 5.75E-05
103 13.71597 0.133165
104 16.0619
Coefficientstandard Err t Stat P-value Lower 95% Upper 95%.ower 95.0%/pper 95.0%
1.375992 0.171692 8.014289 1.8E-12 1.03548 1.716503 1.03548 1.716503
X Variable 0.003188 0.00076 4.197236 5.75E-05 0.001682 0.004695 0.001682 0.004695
Intercept](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fbee72774-9620-4008-839b-9900d5906d9a%2F835bbb3a-d23b-443e-ba43-fa8b5890f855%2F1dnsum_processed.jpeg&w=3840&q=75)
Transcribed Image Text:(c) Interpret the estimated coefficients stating if they are statistically significant in explaining
price of houses. Also interpret R squared.
SUMMARY OUTPUT price and baths
Regression Statistics
Multiple R 0.382173
R Square
0.146056
Adjusted F 0.137765
Standard E 0.364917
Observatio
ANOVA
df
Regression
Residual
Total
105
SS
MS
F ignificance F
1 2.345936 2.345936 17.61679 5.75E-05
103 13.71597 0.133165
104 16.0619
Coefficientstandard Err t Stat P-value Lower 95% Upper 95%.ower 95.0%/pper 95.0%
1.375992 0.171692 8.014289 1.8E-12 1.03548 1.716503 1.03548 1.716503
X Variable 0.003188 0.00076 4.197236 5.75E-05 0.001682 0.004695 0.001682 0.004695
Intercept
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