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What do we mean by a linear regression model?
A linear regression model describes the relationship between a dependent variable, y, and one or more independent variables, X. The dependent variable is also called the response variable. Independent variables are also called explanatory or predictor variables.
Why do we use linear regression to predict?
Understanding linear regression is important because it provides a scientific calculation for identifying and predicting future outcomes. The ability to find predictions and evaluate them can help provide benefits to many businesses and individuals, like optimized operations and detailed research materials.
