Stats case 15.3 - Travis Giguere Achem Pichay Matlock Arnold Mgt 3440-1 Case Study 15.3 Hawlins Manufacturing Executive Summary In this case Ross

Info iconThis preview shows pages 1–2. Sign up to view the full content.

View Full Document Right Arrow Icon
Travis Giguere Achem Pichay Matlock Arnold Mgt 3440-1 Case Study 15.3 Hawlins Manufacturing
Background image of page 1

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
Executive Summary In this case Ross Hawlins wants to know why some of the Hawlins plants are producing more products than the others. He is looking at four different factors that can contribute to the varying plant productivity: the number of plant employees working, the plants average age in years, the product mix produced that week, and whether the output was from the day or night shift. We ran a multiple regression analysis using dummy variables because all of the data was not numerical. We found that output will increase, on average, by about 9 units for each one increase in the number of plant employees working that week. The output will decrease, on average, by about 6 units for each one unit increase in the average age of the plant. The output will decrease by about 134 units for each one unit increase in the product mix produced. The output will decrease, on average, by about 55 units during the night shift. When looking at the P-values we see that the average age
Background image of page 2
This is the end of the preview. Sign up to access the rest of the document.

This note was uploaded on 04/08/2008 for the course MATH ? taught by Professor Mugahl during the Spring '08 term at University of Utah.

Page1 / 2

Stats case 15.3 - Travis Giguere Achem Pichay Matlock Arnold Mgt 3440-1 Case Study 15.3 Hawlins Manufacturing Executive Summary In this case Ross

This preview shows document pages 1 - 2. Sign up to view the full document.

View Full Document Right Arrow Icon
Ask a homework question - tutors are online