Regression is a statistical approach used for predicting real values like age, weight, salary, for example. In regression, we have a dependent variable which we want to predict using some independent variables. The goal of regression […]
Continue readingMore TagIntroduction: Ordinary Least Squares(OLS) is a commonly used technique for linear regression analysis. OLS makes certain assumptions about the data like linearity, no multicollinearity, no autocorrelation, homoscedasticity, normal distribution of errors. Violating these assumptions may reduce […]
Continue readingMore TagIntroduction: In this tutorial, we’ll discuss how to build a linear regression model using statsmodels. Statsmodels is a Python module that provides classes and functions for the estimation of many different statistical models, as well as […]
Continue readingMore TagIn the previous part of the Introduction to Linear Regression, we discussed simple linear regression. Simple linear regression is a basic model with just two variables an independent variable x, and a dependent variable y based […]
Continue readingMore TagBefore we venture into linear regression, let’s first try to understand what regression analysis is? What is Regression? Regression is a statistical approach used for predicting real values like the age, weight, salary, for example. In […]
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