Fitting an advanced logistic model

Fit an advanced linear model to describe the relationship between many predictor variables and a binary response variable.

  1. Select a cell in the dataset.
  2. On the Analyse-it ribbon tab, in the Statistical Analyses group, click Fit Model, and then click Binary Logistic.
    The analysis task pane opens.
  3. In the Model drop-down menu, select Advanced.
  4. In the Y drop-down list, select the response variable.
  5. In the Event drop-down list, select the outcome of interest.
  6. In the Available variables list, select the predictor variable(s):
    • To select a single variable, click the variable.
    • To select multiple variables, click the first variable then hold down the CTRL key and click each additional variable.
    • To select a range of variables, click the first variable then hold down the SHIFT key and click the last variable in the range.
  7. Optional: Click the drop-down menu arrow next to the Available variables list, and then select the measurement scale of the variable.

    If the measurement scale is not set, Analyse-it tries to determine if the variable is categorical or continuous scale. After you add a variable to a model, the icon alongside the variable indicates the assumed scale.

  8. Click Add to add a variable, or click Factorial to add the factorial terms, or click Polynomial to add a polynomial terms.
  9. To add the interaction between two or more variables, in the Terms list box, click the first term then hold down the CTRL key and click each additional term to include in the interaction, and then click Cross.
  10. To remove a term, in the Terms list box, click the term and then click Remove.
  11. Repeat steps 6 through 10 to build the model.
  12. Optional: To show log odds ratio, select the Parameter estimates check box.
  13. Optional: To show odds ratio, select the Odds ratio estimates check box.
  14. Click Calculate.