(Choose 1 answer)
(See picture)
Α. 1.5740
Β. 0.1478
C. 1.3045
D. -0.1478
FUO
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
R Square
0.7284
Adjusted R Square
0.6964
Standard Error
10.5630
Observations
20
ANOVA
df
SS
MS
F
Regression
2
5086.5764
Residual
17
1896.8050
2543.2882 22.7941
111.5768
Significance F
0.0000
Total
19
6983.3814
Coefficients
Standard Error
t Stat
P-value
Intercept
1.5740
9.2723
0.1698
0.8672
Age
1.3045
0.1956
6.6678
0.0000
Lower 95%
-17.9888
0.8917
Upper 95%
21.1368
1.7173
31
