Kizspy | Question: 92
(Choose 1 answer)
(See picture)
A. 17.56%
B. 70.69%
C. 71.89%
D. 84.79%
FUDVERFLOW,.com
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
Observations
ANOVA
17.5571
50
df
SS
MS
F
Significance F
Regression
Residual
Total
49
37043.3236
14487.7627
51531.0863
18521.6618
308.2503
0.0000
Coefficients Standard Error t Stat
p.
value
Intercept
Income
-5.5146
7.2273
-0.7630
0.4493
0.4262
0.0392
10.8668
0.0000
Size
5.5437
1.6949
3.2708
0.0020
Also SSR (XX)-36400.6326 and SSR (X, 1X)-3297.7917
What fraction of the variability in house size is explained by
income and size of family?
