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Regression analysis can be more complex than what is covered in the " Dive deep to regression analysis " article. For example, sometimes the relationships are non-linear (e.g., square or reverse, etc.). Occasionally values of variables need to be converted in logarithms. When dealing with categorical independent variables (X), we will need to create dummy variables and examine effects of interactive variables. In addition, we will need to use logistic regression model when dealing with categorical dependent
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