Basic Business Statistics, Student Value Edition
Basic Business Statistics, Student Value Edition
14th Edition
ISBN: 9780134685113
Author: Mark L. Berenson, David M. Levine, David F. Stephan, Kathryn Szabat
Publisher: PEARSON
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Chapter 15, Problem 39PS

A molding machine that contains different cavities is used in producing plastic parts. The product characteristics of interest are the product length (in.) and weight (g). The mold cavities were filled with raw material powder and then vibrated during the experiment. The factors that were varied were the vibration time (seconds), the vibration pressure (psi), vibration amplitude ( % ) , the raw material density (g/ML), and the quantity of raw material (scoops). The experiment was conducted in two different cavities on the molding machine. The data are stored in Molding.

a. Develop the most appropriate multiple regression model to predict the length in cavity 1. Be sure to perform a through residual analysis. In addition, provide a detailed explanation of your results.

b. Repeat (a) for cavity 2.

c. Compare the results for length in the two cavities.

d. Develop the most appropriate multiple regression model to predict the product weight in cavity 1. Be sure to perform a thorough residual analysis. In addition, provide a detailed explanation of your results.

e. Repeat (d) for cavity 2.

f. Compare the results for weight in the two cavities.

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Basic Business Statistics, Student Value Edition

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