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What is Linear Regression about?

Linear regression is a predictive modeling technique used to estimate the value of a dependent variable based on one or more independent variables. It requires certain assumptions, including linearity, independence of observations, and normally distributed residuals. Multiple regression extends this concept to include multiple predictors, allowing for a more comprehensive analysis of how various factors contribute to the outcome variable.

Author

Switbert Kelvin

Language

EN