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ECN 601 MODULE 4 MULTIPLE REGRESSION MODELS

ECN 601 MODULE 4 MULTIPLE REGRESSION MODELS

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4-22
The following data give the selling price, square footage, number of bedrooms, and the age of the houses that have sold in a neighborhood in the past 6 months. Develop three regression models to predict the selling price based upon each of other the other factors individually. Which of these is the best?
4-23
Using the above data and develop a regression model to predict selling price based on the square footage and number of bedrooms. Use this to predict the selling price of a 2,000 square foot house with 3 bedrooms. Compare this model with the above models. Should the number of bedrooms be included in the model? Why or why not?
4-24
Use the data in Problem 4-22 and develop a regression model to predict selling price based   on the square footage, number of bedrooms, and age. Use this to predict the   selling price of a 10-year-old, 2,000-square-foot house with 3 bedrooms.
4-32
In 2009, the New York Yankees won 103 baseball games during the regular season. The table on the next page lists the number of victories (W), the earned-run- average (ERA), and the batting average (AVG) of each team in the American League. The ERA is one measure of the effectiveness of the pitching staff, and a lower number is better. The batting average is one measure of effectiveness of the hitters, and a higher number is better.


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