Irregularity cannot be explicitly included in a regression model.
Regression analysis is a collection of statistical techniques used in statistical modelling to estimate the associations between a dependent variable and one or more independent variables.
Simple linear regression is defined as Y = mX + b, where Y is the dependent variable, X is the predictor variable, m is the estimated slope, and b is the calculated intercept.
Linear regression analysis predicts the value of one variable depending on the value of another. The variable you wish to forecast is referred to as the dependent variable. The variable you are using to forecast the value of the other variable is known as the independent variable.
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