problem7F05key

problem7F05key - E303 Davis Spring 2005 Problem Set#7...

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E303 Davis Spring 2005, Problem Set #7 Regression Analysis Consider the following data Sales Adv Y i X i 3 1 4 2 6 3 5 4 7 5 6 6 5 7 9 8 10 9 9 10 1. Input this data on a spreadsheet . Using the regression option, generate regression predictions. Write your results as an equation, as we did in class. In particular, (a) Write the regression equation, with estimated coefficients, (b) Below the regression equation, list in parentheses the standard errors of the coefficient estimates (c) To the right of the estimated equation write R 2 = ^ Yi = 2.733 + 0.667 X i R 2 = .757, adj R 2 = .727 (0.827 (0.133) F 1,8 = 25 p =.001 MSE = 1.211 ^ Equation : ____ Y_= ___ 2.733____+ 0.667 X i __________________ R 2 = .757 Std Errors (0.827 ) ( 0.133 )
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2. Multivariate Regression . Now add to your above regression in a price variable, with values: 8, 7.5, 7.25, 7.25, 6, 6.75, 6, 5, 4.4, 5.2. Estimate the new regression equation. Print regression results. Write out the estimated demand function, as in 1 above. Equation:
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This note was uploaded on 04/12/2010 for the course ECON 303 taught by Professor Shrestha during the Fall '08 term at VCU.

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problem7F05key - E303 Davis Spring 2005 Problem Set#7...

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