Kizspy | Question: 78
(Choose 1 answer)
(See picture)
Α. 17.56%
Β. 70.69%
C. 71.89%
D. 84.79%
A real estate builder wishes to determine how house size (House) is influenced by family income (Income) and family size (Size). House size is measured in hundreds of square feet and income is measured in thousands of dollars. The builder randomly selected 50 families and ran the multiple regression.Partial Microsoft Excel output is provided below:
Regression Statistics
Multiple R
R Square
0.8479
0.7189
Adjusted R Square 0.7069
Standard Error 17.5571
Observations
ANOVA
Regression
Residual
Total
50
df
SS
MS
37043.3236 18521.6618
14487.7627 308.2503
51531.0863
Significance F
0.0000
49
Coefficients Standard Error Stat
-5.5146 7.2273
0.4262
5.5437
0.0392
1.6949
P.
value
-0.7630 0.4493
10.8668 0.0000
3.2708
0.0020
Intercept
Income
Size
Also SSR (XX)=36400.6326 and SSR(X,X)-3297.7917
What fraction of the variability in house size is explained by income and size of family?
FUOVER
