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Exhibit 91
the Following Questions Are Based on the Problem Description

Question 67

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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.
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 Y<sub>i</sub>)required to process a batch of parts X<sub>i</sub>).It has developed the following Excel spreadsheet of the results. -Refer to Exhibit 9.1.What is the estimated regression function for this problem? Explain what the terms in your equation mean. \widehat { \mathrm { Y } } _ { \mathrm { i } } = 4.8400 + 1.4836 \mathrm { X } _ { \mathrm { li } }
-Refer to Exhibit 9.1.What is the estimated regression function for this problem? Explain what the terms in your equation mean.
Y^i=4.8400+1.4836Xli\widehat { \mathrm { Y } } _ { \mathrm { i } } = 4.8400 + 1.4836 \mathrm { X } _ { \mathrm { li } }

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