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What is Understanding Linear Regression Basics about?
Linear regression models the linear relationship between numerical input and output variables, allowing predictions based on input data. The least squares method is used to minimize the sum of squared residuals to fit the regression line. There are two types of linear regression: simple, which involves one input variable, and multiple, which involves multiple input variables.
- Author
- Aditya Kinjawadekar
- Language
- EN