0155salesi bi 00089 r 2 00144 89893 2629 log

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Unformatted text preview: the e¤ect is signi…cantly di¤erent from zero because zero is outside the interval. Lecture 4 (econometrics and simple linear regression) EMET2007/6007 13 th March 2013 47 / 50 Further on R 2 We can compare the R 2 for following two regressions \ salary i \ salary i = 1174 + 0.0155salesi + bi ε (0.0089 ) = R 2 = 0.0144 898.93 + 262.9 log (salesi ) + bi ε (92.36 ) R 2 = 0.0377 But we cannot compare the R 2 for the following two regressions \ salary i = 1174 + 0.0155salesi + bi ε (0.0089 ) c log (salaryi ) = 6.85 + 0.000015salesi + bi ε (3.55e 06 ) R 2 = 0.0144 R 2 = 0.0791 Why not? Lecture 4 (econometrics and simple linear regression) EMET2007/6007 13 th March 2013 48 / 50 Ok, I’ tell you ... ll To be able to compare the Goodness-of-…t of two models using R 2 , they must have the same dependent variable. If one regression has salary for the dependent variable and another has log (salary ) for the dependent variable, we cannot compare R 2 Lecture 4 (econometrics and simple linear regression) EMET2007/6007 13 th March 2013 49 / 50 In this lecture we have covered ... Introduced the assumption of normal errors This implied the estimators were normal Listed the Gauss-Markov assumptions One-sided and two-sided hypothesis tests on β1 Used t-statistics and p values Introduced the concept of statistical signi…cance Con…dence intervals and their interpretations Learned a little more about the use of R 2 Lecture 4 (econometrics and simple linear regression) EMET2007/6007 13 th March 2013 50 / 50...
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This note was uploaded on 06/15/2013 for the course EMET 2007 taught by Professor Strachan during the Two '13 term at Australian National University.

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