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+# Statistical Regression With Python
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 We have many variables like the columns in a database, the questions in a survey, etc. Could we build a model to explain the relationships, or even predict the future values?
 
 In this talk, I will introduce the correlation analysis, OLS (ordinary least squares), R formula (an implementation in Python) to build models, covariance types, outliers, common models, and the most important thing: how to build and interpret a model correctly.