In excel use the regression tool to analyze the data in a

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Reference no: EM13585944

The Bekaert Company of Belgium is a major supplier of bead wire for tire re-enforcement and other specialized wire processes in the USA and throughout the world. The company has always prided  itself on its dedication to employee training and education.

Recently they have increased production from 70,000 to 90,000 pounds per week during a time when it implemented a basic skills training program over an 18 month period.

The following data date measures the number of total cumulative basic skills hours of training and the per week productivity figures taken once a month over this time period.

Question - In Excel use the regression tool to analyze the data in a brief report (Power Point or Word Doc) to the CEO of Bekaert.

Discuss the predictability of productivity from cumulative hours of training.

                                      The Data
Cumulative Hours of Training            Productivity (lbs. /week)
              0                                           70,000
            100                                          70,350
            250                                          70,500
            375                                          72,600
            525                                          74,000
            750                                          76,500
            875                                          77,000
          1,100                                          77,400
          1,300                                          77,900
          1,450                                          77,200
          1,660                                          78,900
          1,900                                          81,000
          2,300                                          82,500
          2,600                                          84,000
          2,850                                          86,500
          3,150                                          87,000
          3,500                                          88,600
          4,000                                          90,000

Reference no: EM13585944

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