Kizspy | Question: 72
(Choose 1 answer)
(See picture)
Α. 1.5740
Β. 1.3045
C. 0.1478
D. -0.1478
FUOVER
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
2543.2882 22.7941
Significance F
0.0000
Residual
17
1896.8050
111.5768
Total
19
6983.3814
Coefficients
Standard Error
t Stat
P-value
Lower 95%
Upper 95%
Intercept
1.5740
9.2723
0.1698 0.8672
-17.9888
21.1368
Age
1.3045
0.1956
6.6678
0.0000
0.8917
1.7173
Exper
-0.1478
0.1944
-0.7604
0.4574
-0.5580
0.2624
The estimate of the unit change in the mean of Y per unit change in X1,
considering the effects of the other variable, is
