*Related Questions:– What is Logistic Regression?*

*– What are the advantages and disadvantages of logistic regression?*

Logistic regression is a statistical technique used to model the relationship between a dependent variable (often binary or dichotomous) and one or more independent variables. The major assumptions of logistic regression are depicted in the following table:

SNo. | Assumption | Explanation |
---|---|---|

1 | Binary Outcome | The dependent variable must be binary, which means it can take only two possible values, such as 0 or 1, Yes or No, etc. |

2 | Linearity | There should be a linear relationship between the independent variable(s) and the log-odds of the dependent variable |

3 | Independence of Observations | Each observation should be independent of all other observations |

4 | No Multicollinearity | The independent variables should not be highly correlated with each other. If there is high multicollinearity, it can lead to unstable and unreliable coefficient estimates. |

5 | Large Sample Size | Logistic regression assumes a large sample size to obtain reliable estimates. A rule of thumb is that there should be at least 10-15 observations for each independent variable in the model. |

6 | No Outliers | Outliers can have a significant impact on the coefficient estimates in logistic regression. Therefore, it is important to check for outliers and address them if necessary. |

Overall, logistic regression is a powerful tool for analyzing binary outcomes, but it is important to carefully consider the assumptions and limitations of the model when interpreting the results.

### Video Explanations

There are following two recommended videos for understanding the assumptions of logistic regression:

1. **[Recommended]** In this video from Learn2Stats, Prof. Ryan explains the assumptions of logistic regression in detail (Runtime: 3:47).

2. **[Recommended]** Now that you understand the assumptions for logistic regression, you can follow this video from Hannah at University of Liverpool, to learn how to test for these assumptions (Runtime: 6:30 mins): https://www.youtube.com/watch?v=jILEwqg2p3k