A multiple logistic regression model was used to analyze independent predictor variables.

This is often used for deciding how many predictor variables to use in regression.

We used the same definitions as in the original model for the predictor variables.

Also, the final model depends on the order in which the predictor variables are fit.

Second, continuous predictor variables are changed to Z scores.

The outcome of interest was suicidal thinking, and the predictor variables were broad personality traits.

In this case, a significant F test allows classification based on a linear combination of predictor variables.

These characteristics are then used as predictor variables to analyze the excess variation in the effect sizes.

They argued that predictor variables explained about 69% of variance in the international incarceration rates.

It stores the values of the predictor variables for the case along with the target value.