What is linear regression - Definition and Meaning

Linear Regression :

In statistics, Linear regression is generally used in predictive analysis. It is an approach used to describe the relationship between a dependent variable (y) or one or more independent variables (x). Here independent variables is also referred as explanatory variable. If its a case of one independent variable, the its called as simple linear regression. But if its deals two or more independent variable, then it called as multiple linear regression.

Formula :

The relationship between one dependent and one independent variable can be given as y = c + b * x y - estimated dependent, c - constant b - regression coefficients x - independent variable
Laplace Transform Least Squares Method

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