Anon

(Dana P.) #1

Robust Regressions 165


When we examined the diagonal of the hat matrix, we found the fol-
lowing results:


Maximum leverage = 0.0189
Mean leverage = 4.0783e–004

suggesting that there is no dangerous point. Robust regression can be
applied; that is, there is no need to change the regression design. We applied
robust regression using the Huber and Tukey weighting functions with the
following parameters:


Huber (k = 1.345 × standard deviation)

and


Tukey (k = 4.685 × standard deviation)

The robust regression estimate with Huber weighting functions yields the
following results:


R^2 = 0.1324
Adjusted R^2 = 0.1322
Weight parameter = 0.0287
Number of iterations = 39

Beta t-Statistic Change in p-Value

β 0 –0.000706 –0.767860 0.442607


β 1 0.405633 7.128768 0.000000


The robust regression estimate with Tukey weighting functions yields
the following results:


R^2 = 0.1315
Adjusted R^2 = 0.1313
Weight parameter = 0.0998
Number of iterations = 88

Beta t-Statistic Change in p-Value

β 0 –0.000879 –0.632619 0.527012


β 1 0.400825 4.852742 0.000001

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