(Choose 1 answer)
(See picture)
A. 3.1282
B. 29.0720
C. 25.9438
D. 0.1117
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 0.8886
0.8924
Square
Standard 0.3342
Error
Observations 30
ANOVA
df
SS
MS
F
Significance
F
Regression Residual
1
28
25.9438 3.1282 0.1117
25.9438
232.220
4.3946E-15
Total
29
29.072
Coefficients Standard t Stat Error
P-value
Lower 95
% Upper
Intercept 0.4024
Applications
0.0126
Recorded
0.1236 3.2559 15.2388
0.0030 0.1492
0.0008
0.0000
0.0109
95%0.6555
0.0143
The error sum of squares (SSE) of the above regression is
(14
