Methods for ranking and quantifying the importance of predictor variables
We all love to rank and order things. A common question after regression is “how do I know which variable is affecting my response variable more?”. E.g. Do extremes of temperature matter more than the mean (for plant growth)? Does sociodemographic index matter more than high school grade (for graduate outcomes)?
We discuss the options for this question, which depend on the model type, and include partitioning R2 type methods, regression coefficients and model averaging.
The talk will be about 30 minutes long and follow by discussion.
Speaker: Eve Slavich, Statistical Consultant, UNSW Stats Central
Date: Thursday 22 October 2020