Question

A regression model was run to predict quarterly sales per salesperson by hours of customer meeting...

A regression model was run to predict quarterly sales per salesperson by hours of customer meeting time. The hypothesis was that salespeople who spent more time with customers, face-to-face, would have higher sales.

Model:           R2 =.16            F = 12.24         sig.=.01

Coefficients

unstandardized

standardized

t

sig.

intercept

1225.44

.00

f-f hours

86.55

-.15

1.23

.01

This output is riddled with errors. Find at least three errors:

0 0
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Answer #1

The errors in the regression model output are:

Intercept's p-value

F-statistic

Unstandardized f-f hours

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