(Choose 1 answer)
(See picture)
A. 0.1117
B. 29.0720
C. 3.1282
D. 25.9438
The manager of the purchasing department of a large saving and loan organization would like to develop a model to predict the amount of time (measured in hours) it takes to record a loan application. Data are collected from a sample of 30 days, and the number of applications recorded and completion time in hours is recorded. Below is the regression output:
Regression Statistics
Multiple R
0.9447
R Square Adjusted R
0.8924
0.8886
Square
Standard
Error
0.3342
Observations 30
ANOVA
af
SS
MS
F
Significance
F
Regression 1
Residual
Total
28
29
25.9438 25.9438
232.220
4.3946E-15
3.1282 0.1117
29.072
Intercept
0.4024
Applications
0.0126
Coefficients Standard Error
1 Stat
0.1236
3.2559
0.0030
0.1492
0.0008
15.2388 0.0000 0.0109
P-value Lower 95%
Upper 95%
0.6555
0.0143
(10)
