Lab Assignment 10

# Lab Assignment 10 - 1. (1) Apply RESET to the above...

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1. (1) Apply RESET to the above regression by including the 2nd and 3rd power of predicted y in the regression. Report the results regarding the RESET tests. The REG Procedure Model: MODEL1 Dependent Variable: lsalary Number of Observations Read 209 Number of Observations Used 209 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 5 20.39881 4.07976 17.88 <.0001 Error 203 46.32335 0.22819 Corrected Total 208 66.72217 Root MSE 0.47770 R-Square 0.3057 Dependent Mean 6.95039 Adj R-Sq 0.2886 Coeff Var 6.87295 Parameter Estimates Parameter Standard Variable DF Estimate Error t Value Pr > |t| Intercept 1 -12.46259 122.58245 -0.10 0.9191 lsales 1 -1.21552 17.77710 -0.07 0.9456 roe 1 -0.06889 1.02688 -0.07 0.9466 rosneg 1 0.96119 13.91841 0.07 0.9450 y2 1 1.14336 8.87893 0.13 0.8977 y3 1 -0.07334 0.42567 -0.17 0.8634 (2) Now try the option of RESET and NORMAL in the procedure autoreg . Report the test statistics, p- values and your conclusions regarding the RESET and Normality tests. The SAS System 12:22 Thursday, March 18, 2010 3 autoreg The AUTOREG Procedure Dependent Variable lsalary Ordinary Least Squares Estimates SSE 46.9319637 DFE 205 MSE 0.22894 Root MSE 0.47847 SBC 302.31587 AIC 288.946533 MAE 0.32896329 AICC 289.142612 MAPE 4.6859539 Regress R-Square 0.2966 Durbin-Watson 1.9582 Total R-Square 0.2966 Miscellaneous Statistics Statistic Value Prob Label Normal Test 566.3407 <.0001 Pr > ChiSq Ramsey's RESET Test Power RESET Pr > F 2 2.6500 0.1051

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3 1.3335 0.2658 4 1.0735 0.3614 Standard Approx Variable DF Estimate Error t Value Pr > |t| Intercept 1 4.2976 0.2933 14.65 <.0001 lsales 1 0.2884 0.0336 8.58 <.0001 roe 1 0.0167 0.003968 4.20 <.0001 rosneg 1 -0.2257 0.1093 -2.06 0.0403
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## This note was uploaded on 02/21/2012 for the course ECON 500 taught by Professor Professor during the Fall '10 term at SUNY Buffalo.

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Lab Assignment 10 - 1. (1) Apply RESET to the above...

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