When the predictor units of measurement differ greatly in magnitude,which action might be useful?
A)Stepwise regression to detect which predictors are best
B)Decimal transformations to improve data conditioning
C)Logistic regression to produce probability predictions
D)Best subsets regression to find the best model

Question

Quizplus · Accepted Answer

Decimal transformations, such as logarithmic or square root transformations, can help improve data conditioning when the predictor units of measurement differ greatly in magnitude. This can help to ensure that all predictors are given equal consideration in the regression analysis. Options A, C, and D do not address the issue of differing predictor units of measurement.

When the Predictor Units of Measurement Differ Greatly in Magnitude,which