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Regression analysis is one of the most widely used techniques for analyzing data. Its broad appeal and usefulness result from the conceptually logical process of using an equation to express the relationship between a variable of interest (the response) and a set of related predictor variables.

1 Assumptions in Linear Regression

The linear regression has five key assumptions:

  1. The data is homoskedastic: meaning the variance in the residuals (the difference in the real and predicted value) is more or less constant.
  2. The residuals are independent: meaning the residuals are…

Luigi Capogrosso

MSc in Computer Engineering for Robotics and Smart Industry

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