Statinfer

February 2017

28

Feb'17

204.2.1 Logistic Regression, why do we need it?

In this series we will try to explore Logistic Regression Models. For the starters we will do a recap of …

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27

Feb'17

204.1.11 Interaction Terms

Link to the previous post : https://statinfer.com/204-1-10-practice-multiple-regression-with-multicollinearity/   This is the final post in our Linear Regression Series. This post is …

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26

Feb'17

204.1.10 Practice : Multiple Regression with Multicollinearity

Link to the previous post : https://statinfer.com/204-1-9-issue-of-multicollinearity-in-python/ In this practice post we will build a Multiple Regression model and try to …

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25

Feb'17

204.1.9 Issue of Multicollinearity in Python

In previous post of this series we looked into the issues with Multiple Regression models. In this part we will …

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24

Feb'17

204.1.8 Practice : Multiple Regression Issues

Link to the previous post: https://statinfer.com/204-1-7-adjusted-r-squared-in-python/ In the last post of this session, we did cover basics of Multiple variable Linear …

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23

Feb'17

204.1.7 Adjusted R-squared in Python

Link to the previous post : https://statinfer.com/204-1-6-multiple-regression-in-python/ Adjusted R-Squared Is it good to have as many independent variables as possible? …

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