Kizspy | Question: 41
(Choose 1 answer)
(See picture)
A. 0.1117
Β. 3.1282
C. 25.9438
D. 29.0720
FUOVERFL
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 0.8924
Adjusted R 0.8886
Square
Standard 0.3342
Error
Observations 30
ANOVA
df
Significance
F
25.9438 25.9438 232.220
3.1282 0.1117
29.072
4.3946E-15
Regression 1
Residual 28
Total
29
Coefficients
SS
MS
F
Standard 1 Stat P-value Lower 95 Error
% Upper 95%
0.6555
0.0143
Intercept 0.4024 0.1236
Applications 0.0126 0.0008 Recorded
3.2559 0.0030 0.1492
15.2388 0.0000 0.0109
The error sum of squares (SSE) of the above regression is
