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1 | 1 | #12. Logistic Regression |
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5 | | -<figure><imgsrc="../.gitbook/assets/image (142).png"alt=""width="203"><figcaption></figcaption></figure> |
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7 | 5 | 1. Click on_**Logistic Regression**_ in the_**Statistics**_ category. |
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11 | | -<figure><imgsrc="../.gitbook/assets/image (143).png"alt=""width="563"><figcaption></figcaption></figure> |
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13 | 9 | 2._**Data**_: Select the data for analysis. You can choose only the data that meets specific conditions using[_**Subset**_](../data-analysis/5.-subset.md). |
14 | 10 | 3._**Dependent Variable**_: Choose the dependent variable. You can transform continuous variables into categorical variables by checking_**Encoding Labels**_. |
15 | 11 | 4._**Independent Variable**_: Select the independent variables. |
16 | | -5._**Show Odds**_:Displaytheodds. |
| 12 | +5._**Show Odds**_:Show_**Odds**_ (_**Odds**_:theratio between the probability of a certain event happening and the probability of it not happening) |
17 | 13 | 6._**Multicollinearity Statistics**_: This provides statistics to check for the presence of multicollinearity. |
18 | 14 | 7._**Code View**_: Preview the code that will be output. |
19 | 15 | 8._**Data View**_: Preview the data that will be output. |
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