Lab Assignment 8

Lab Assignment 8 - 1. 1) Regress cigs on log(income),...

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1. 1) Regress cigs on log( income ), log( cigpric ), educ , age , age 2 , and restaurn . Save and submit a copy of the results. The SAS System 13:03 Thursday, February 25, 2010 1 The REG Procedure Model: MODEL1 Dependent Variable: cigs Number of Observations Read 807 Number of Observations Used 807 Analysis of Variance Sum of Mean Source DF Squares Square F Value Pr > F Model 6 8003.02492 1333.83749 7.42 <.0001 Error 800 143751 179.68832 Corrected Total 806 151754 Root MSE 13.40479 R-Square 0.0527 Dependent Mean 8.68649 Adj R-Sq 0.0456 Coeff Var 154.31759 Parameter Estimates --Heteroscedasticity Consistent- Parameter Standard Standard Variable DF Estimate Error t Value Pr > |t| Error t Value Pr > |t| Intercept 1 -3.63982 24.07866 -0.15 0.8799 25.50512 -0.14 0.8866 lincome 1 0.88027 0.72778 1.21 0.2268 0.59342 1.48 0.1384 lcigpric 1 -0.75086 5.77334 -0.13 0.8966 6.00917 -0.12 0.9006 educ 1 -0.50150 0.16708 -3.00 0.0028 0.16169 -3.10 0.0020 age 1 0.77069 0.16012 4.81 <.0001 0.13768 5.60 <.0001 agesq 1 -0.00902 0.00174 -5.18 <.0001 0.00146 -6.20 <.0001 restaurn 1 -2.82508 1.11179 -2.54 0.0112 1.00365 -2.81 0.0050 2) Carry out the White test. Is there evidence of heteroskedasticity? : Heteroskedasticity exists because the null hypothesis (= homoskedasticity) is rejected. Test of First and Second
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Lab Assignment 8 - 1. 1) Regress cigs on log(income),...

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