When we have no prior guidance on which combination of predictors is best,we might consider
A)log transformations.
B)decimal transformations.
C)logistic regression.
D)best subsets regression.

Question

Quizplus · Accepted Answer

Best subsets regression allows us to compare models with different combinations of predictors and select the one with the highest performance, based on a chosen criterion (e.g., lowest AIC or BIC values). This method is especially useful when we have no prior knowledge about which predictors are important or how they are related to the outcome. Therefore, it is the best choice among the given options. Log transformations, decimal transformations, and logistic regression are specific techniques or models that may be used in conjunction with, or after selecting a subset of predictors through best subsets regression.

When We Have No Prior Guidance on Which Combination of Predictors