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Unformatted text preview: , run a regression with Wage ( X 1) as the dependent variable and Experience ( X 9) as the independent variable. Report the computed values for the regression coecients, their standard errors, and the R 2 . Interpret your ndings. 5. Using wages.xls again, suppose you were to run a regression with Wage ( X 1) as the dependent variable and Experience ( X 9) and Age ( X 11) as the independent variables. Explain why using both Experience and Age as independent variables (at the same time) may not be a sound way to proceed. 6. Using realestate.xls , run a regression with Price as the dependent variable and Size and Bath as the independent variables. Report all three regression coecients, and indicate which (if any) are statistically signicant at the 0.05 level. By how much can we expect the selling price of a home to increase if we add an additional bathroom? Interpret your ndings. 1...
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This note was uploaded on 04/25/2008 for the course ECON 211 taught by Professor Haley during the Spring '08 term at Wisc Oshkosh.
 Spring '08
 HALEY
 Economics

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