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(Choose 1 answer)
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A. 3.1282
B. 29.0720
C. 0.1117
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
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Multiple R
0.9447
R Square
0.8924
Adjusted R
0.8886
Square
Standard
0.3342
Error
Observations 30
ANOVA
df
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
Coefficients Standard Stat
Error
P-value Lower 95% Upper
95%
Intercept 0.4024 0.1236 3.2559 0.0030 0.1492
Applications 0.0126 0.0008 15.2388 0.0000 0.0109
Recorded
0.6555
0.0143
The error sum of squares (SSE) of the above regression is
