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