Learn professional tips how to build better regression models.
Not all regression models need complicated econometrics or statistics. Even "standard" regression techniques - such as Ordinary Least Squares - can see significant improvements in usability and data interpretation by applying a few tips and tricks.

Often such knowledge is only acquired with lots of experience and after trial and error (mostly error). In this session I will teach you some simple things that you can do to significantly improve your regression modelling. These tips can make a significant difference to how your results are interpreted and should be considered in all serious regression work.

This knowledge from this class is useful for all users of multivariate analysis including students, researchers, business users, managers and policy practitioners.

Each session will provide a basic overview of the topic followed by applied examples.

Topics will include:

1. Polynomial Regression - How to apply non-linear form to regression

2. Interaction Effects - How to use and interpret interaction terms

3. Time - How to use time data in a regression

4. Missing Values - How to deal with missing data.
RELEASE Skillshare.Tips.for.Regression.Modelling-ViGOROUS
URL www.skillshare.com
SOURCE Skillshare
UPDATED
DATE 6/30/2020

ex.FiLES Yes

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