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Don Clarke, The Operations Manager of the Dollar Wise Distribution Center is concerned with the level of accuracy of the picking team under his responsibility. He has taken a sample of 75 recent orders and compiled the information in the Workbook WB5.xls.
The data is defined as follows:
Order Accuracy (%): Number of correct pieces in the order divided by the total number of pieces in the order, multiplied by 100.
Number of Lines in the Order: Number of SKUs in each order. The more lines in an order, the more stops the picker has to make to fulfill it.
Order Size: Number of pieces in each order. Larger orders require more attention from pickers as he/she counts the pieces.
Time within Shift: Each seven-hour shift is divided in 28 working blocks of 15 minutes each. This column shows the number of the block in which the order was picked.
Picker Experience: This is a Category Variable created to differentiate the level of experience of the picker assigned to each order.
You are to develop a linear regression model to assist Don in his analysis.
Open the MS Excel file WB5.xlsx.
Using the Correlation capability, create a matrix showing how the five variables correlate with one another.
Create a Word file and write your conclusions from the item above.
Create a single linear regression model using the variable with the highest correlation coefficient.
Interpret the results, including the weight of each coefficient, and summarize your findings in the Word file.
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