logistic regression using R | when to use | fit | interpret coefficients| odds | chi-square test
Автор: Data Science with Yan
Загружено: 2021-12-21
Просмотров: 5758
In this video, you will learn the important things about logistic regression.
00:32 When should you use the logistic regression model?
3:20 The model formula
5:06 a real data example on medical school acceptance
10:45 How to fit a logistic regression model using R?
11:35 How to use the fitted model? predictions?
15:35 what is odds?
16:20 How to interpret the coefficients?
17:25 build a logistic regression with multiple predictors
18:59 coef() and exp(coef())
20:40 How to do model comparisons? chi-square test
The models in this video are for illustration purposes only. They are not the best models.
The dataset I used in the video: https://github.com/yz-DataScience/R-f...
excel file is easier to be downloaded directly. Make sure you click file-import file- import from excel if you are using the MedGPA.xlsx file.
The csv file: https://github.com/yz-DataScience/R-f...
you may click copy raw contents, paste it to excel, and save it as MedGPA.csv.
Or you can just load the data from the R package as I did in the video.
The r code with annotations: https://github.com/yz-DataScience/R-f...
Feel free to leave me comments with any questions.
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