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Unformatted text preview: Middle East Technical University Faculty of Economics and Administrative Sciences Department of Economics Econ 206 – Spring 2008 PROBLEM SET # 6 1. How do we make sure that our model’s predictive performance is good? 2. We have the regression line for the retail sales per households which depends disposable income. 1 1 ˆ 1.922 0.3815 n n y xb + + = + . Also we got the information that n=22, ( 29 2 2 10799, 34110178, 21806 i e x x x s = = = ∑ . Find 95% confidence interval for next year’s retail sales when disposable income is 12000$. 3. A sample of 25 bluecollar employees at a production plant was taken. Each employee was asked to assess his or her own job satisfaction(x) on a scale from 1 to 10. In addition, the numbers of days absent(y) from work during the last year were found fot these employees. The sample regression line ˆ 12.6 1.2 y x = was estimated by least squares for this data. Also found were 25 2 2 1 6, ( ) 130, 80.6 i e i x x x s = = = = ∑ A particular employee has a job satisfaction level 4. Find a %90 interval for the number of days this employee would absent from work in a year. 4. In a study of credit unions, the following regression was fitted to eightyseven quarterly...
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This note was uploaded on 05/26/2010 for the course ECON 311 taught by Professor Elif during the Spring '10 term at Middle East Technical University.
 Spring '10
 elif
 Economics

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