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Unformatted text preview: Homework 7 Due next Thursday (3/29/2011) #1: Exercise 12.2 and Exercise 12.17 The regression equation is y =  3.37 + 0.00362 x1 + 0.948 x2 Predictor Coef SE Coef T P Constant 3.3727 0.6360 5.30 0.000 x1 0.0036167 0.0006121 5.91 0.000 x2 0.9476 0.3609 2.63 0.028 S = 0.406301 RSq = 82.3% RSq(adj) = 78.3% Analysis of Variance Source DF SS MS F P Regression 2 6.9008 3.4504 20.90 0.000 Residual Error 9 1.4857 0.1651 Total 11 8.3865 1651 . 2 = ∧ σ 1.0 0.5 0.00.51.0 99 95 90 80 70 60 50 40 30 20 10 5 1 Residual Percent Normal Probability Plot (response is y) 2.5 2.0 1.5 1.0 0.5 0.00.5 0.75 0.50 0.25 0.000.250.50 Fitted Value Residual Versus Fits (response is y) The data points in the normal probability plot approximately lie on the one line, but the residuals seem to have a quadratic relationship with the fitted values. After we add one additional random variable, x1*x2 and take off x1, the residuals look more random. 3.0 2.5 2.0 1.5 1.0 0.5 0.0 0.4 0.3 0.2 0.1 0.00.10.20....
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This note was uploaded on 01/19/2012 for the course IEN 312 taught by Professor Qiu during the Spring '11 term at University of Miami.
 Spring '11
 Qiu

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