<figure><img src="../.gitbook/assets/image (142).png" alt="" width="203"><figcaption></figcaption></figure>

1. Click on _**Logistic Regression**_ in the _**Statistics**_ category.

<figure><img src="../.gitbook/assets/image (143).png" alt="" width="563"><figcaption></figcaption></figure>

2. _**Data**_: Select the data for analysis. You can choose only the data that meets specific conditions using [_**Subset**_](../data-analysis/5.-subset.md).

3. _**Dependent Variable**_: Choose the dependent variable. You can transform continuous variables into categorical variables by checking _**Encoding Labels**_.

4. _**Independent Variable**_: Select the independent variables.

5. _**Show Odds**_: Display the odds.

6. _**Multicollinearity Statistics**_: This provides statistics to check for the presence of multicollinearity.

7. _**Code View**_: Preview the code that will be output.

8. _**Data View**_: Preview the data that will be output.

9. _**Run**_: Execute the code.