The coefficient of correlation for the model is 0.63. a) Use the model to predict the selling price of a house that is 1,860 square feet. b) An 1,860-square-foot house recently sold for $95,000. Explain why this is not what the model predicted.
The coefficient of correlation for the model is 0.63. a) Use the model to predict the selling price of a house that is 1,860 square feet. b) An 1,860-square-foot house recently sold for $95,000. Explain why this is not what the model predicted.
Practical Management Science
6th Edition
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
Chapter2: Introduction To Spreadsheet Modeling
Section: Chapter Questions
Problem 20P: Julie James is opening a lemonade stand. She believes the fixed cost per week of running the stand...
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Can you assist me with Question 4.48 I've made attempts to solve but still don't understand. Can you please write the process out step by step? It's easier to follow along. Thank you kindly.
![**4.48** 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 footage = \( X \)) of the house. The model is:
\[ Y = 13,473 + 37.65X \]
The coefficient of correlation for the model is 0.63.
a) Use the model to predict the selling price of a house that is 1,860 square feet.
b) An 1,860-square-foot house recently sold for $95,000. Explain why this is not what the model predicted.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F86444cf1-9ed2-4006-a44e-c06ea2d9bc15%2Fc185e6c7-c50f-445c-bb0c-70b09bb44400%2F9k497d_processed.jpeg&w=3840&q=75)
Transcribed Image Text:**4.48** 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 footage = \( X \)) of the house. The model is:
\[ Y = 13,473 + 37.65X \]
The coefficient of correlation for the model is 0.63.
a) Use the model to predict the selling price of a house that is 1,860 square feet.
b) An 1,860-square-foot house recently sold for $95,000. Explain why this is not what the model predicted.
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