= Simple linear regression
{wiki=Simple_linear_regression}
Simple linear regression is a statistical method used to model the relationship between two continuous variables by fitting a linear equation to the observed data. It assumes that there is a linear relationship between the independent variable (predictor) and the dependent variable (response). \#\#\# Key Components of Simple Linear Regression: 1. **Independent Variable (X)**: This is the variable that you use to predict the value of the dependent variable. It is also known as the predictor, feature, or explanatory variable.
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