Operations Management
Operations Management
11th Edition
ISBN: 9780132921145
Author: Jay Heizer
Publisher: PEARSON
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Chapter 4, Problem 35P

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•• 4.35 Rhonda Clark, a Slippery Rock, Pennsylvania, real estate developer, has devised a regression model to help determine residential housing prices in northwestern Pennsylvania. The model was developed using recent sales in a particular neighborhood. The price (Y) of the house is based on the size (square foot-age = X) of the house. The model is:

Y = 13 , 473 + 37.65 X

The coefficient of correlation for the model is 0.63.

  1. a. Use the model to predict the selling price of a house that is 1,860 square feet.
  2. b. An 1,360-square-foot house recently sold for $95,000. Explain why this is not what the model predicted.
  3. c. If you were going to use multiple regression to develop such a model, what other quantitative variables might you include?
  4. d. What is the value of the coefficient of determination in this problem?
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Chapter 4 Solutions

Operations Management

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