> 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. > > ======================================= > 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 > ============================================== > >
================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at http://jse.stat.ncsu.edu/ =================================================================