Hello. I am hoping that my question can be answered by a statistical expert
out there!! (which I am not). I am carrying out a multiple linear
regression with two independents. It seems that a square root
transformation of the dependent variable effectively decreases
heterocscedasticity and "linearises" the data. However, from what I have
read, transformations of the dependent variable introduces a bias into the
regression, producing improper estimates after back-transforming to "real"
units. Does anybody out there have any knowledge of this problem, or have a
strategy for correcting for this type of bias? Any help would be much
appreciated. Thanks.
Brad.
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Brad Case, MScF
Spatial Data Modeller/Analyst
Canadian Forest Service
Northern Forestry Centre
Landscape Management/Climate Change
5320-122 St.
Edmonton, AB T6H 3S5
Phone: 780-435-7384
Fax: 780-435-7359
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