Sentence examples for modelling all variables from inspiring English sources

When using logistic regression for multivariate modelling, all variables that were significant (p < 0.05) in the univariate analysis were included in the initial model and the variables that were not significant were removed.

In case of model 2 all variables are significant and preserves expected sign.

In the first model, all variables were normal.

In the second model, all variables were abnormal.

In the model, all variables with skewed distributions were converted through natural logarithm to approximate normality.

The resulting model (all variables costing model - AV-CM) had an R2 of 0.98 and an adjusted R2 of 0.97.

To test the full structural model, all variables were entered into the model simultaneously.

For multivariate models, all variables associated with the endpoint (P<0.2) were entered, with age and gender forced into the model.