Explain why most researcher use the default(Enter) method for model building.© BrainMass Inc. brainmass.com June 3, 2020, 11:56 pm ad1c9bdddf
To understand this, you need to understand the logic that underlies multiple regression. In multiple regression, we're trying to predict one variable (y) from a set of other variables (x1, x2, x3, etc). We decide whether each x variable should stay in the regression model by looking at how much variance in y each explains. Only variables that explain a lot of variance in y stay in the model.
Let's start simple. Imagine we're doing a simple regression, where we're trying to predict a variable (y) from a single variable (x). For example, if we were predicting 'years of schooling' from 'age', we would expect that age (x) would explain a lot of variance in years of schooling (y) (and would be a significant predictor in the model). In contrast, if we were predicting 'years of schooling' from 'hair colour', we would expect that hair colour (x) was not a good predictor of years of schooling (y): it would not explain a lot of variance in y (and would not be a significant ...
Explains the theory underlying the use of the default Enter method in multiple regression analyses.