Exhibit 9.1
The following questions are based on the problem description and spreadsheet below.
A company has built a regression model to predict the number of labor hours (Yi) required to process a batch of parts (Xi). It has developed the following Excel spreadsheet of the results. 
-Refer to Exhibit 9.1. Interpret the meaning of the "Lower 95%" and "Upper 95%" terms in cells F16:G16 of the spreadsheet.
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Q65: Estimation errors are often referred to as
A)
Q66: Exhibit 9.6
The partial regression output below applies
Q67: The company would like to build a
Q68: Exhibit 9.3
The following questions are based on
Q69: The standard error measures the
A) variability in
Q71: The adjusted R2 statistic
A) is equal to
Q72: Exhibit 9.5
The following questions are based on
Q73: Exhibit 9.1
The following questions are based on
Q74: Exhibit 9.2
The following questions are based on
Q75: Exhibit 9.2
The following questions are based on
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