visualpython
diff --git a/‎docs/.gitbook/assets/image (316).png
212 KB b/‎docs/.gitbook/assets/image (316).png
212 KB
diff --git a/‎docs/.gitbook/assets/image (317).png
79.6 KB b/‎docs/.gitbook/assets/image (317).png
79.6 KB
diff --git a/‎docs/statistics/12.-logistic-regression.md
Lines changed: 3 additions & 7 deletions b/‎docs/statistics/12.-logistic-regression.md
Lines changed: 3 additions & 7 deletions
@@ -1,19 +1,15 @@
 # 12. Logistic Regression
 
-
-
-<figure><img src="../.gitbook/assets/image (142).png" alt="" width="203"><figcaption></figcaption></figure>
+<figure><img src="../.gitbook/assets/image (316).png" alt="" width="464"><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>
+<figure><img src="../.gitbook/assets/image (317).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.
+5. _**Show Odds**_: Show _**Odds**_ (_**Odds**_: the ratio between the probability of a certain event happening and the probability of it not happening)
 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.