Kizspy | Question: 77
(Choose 1 answer)
(See picture)
A. 2 and 19
B. 2 and 17
C. 17 and 2
D. 19 and 2
E. None of the other choices is correct.
A financial analyst wanted to examine the relationship between salary (in$1,000) and 2 variables: age (X₁= Age) and experience in the field (X2 = Exper). He took a sample of 20 employees and obtained the following Microsoft Excel output:
Regression Statistics
Multiple R
0.8535
FUOVER
R Square
0.7284
Adjusted R Square
0.6964
Standard Error
10.5630
Observations
20
ANOVA
df
SS
Regression
Residual
MS
F Significance F
5086.5764
2543.2882 22.7941
0.0000
Total
19
1896.8050
6983.3814
111.5768
Coefficients
1.5740
1.3045
Standard Error
t Stat
P-value Lower 95%
Upper 95%
-0.1478
Intercept
Age
Exper
The numerator and denominator degrees of freedom of the F test are
9.2723
0.1698 0.8672
-17.9888
21.1368
0.1956
6.6678 0.0000
0.8917
1.7173
0.1944
-0.7604 0.4574
-0.5580
0.2624
