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Linear regression is the most basic and commonly used predictive analysis. Regression estimates are used to describe data and to explain the relationship between one dependent variable and one or more independent variables.
Example. To calculate the simple linear regression equation, let consider the two variable as dependent (x) and the the independent variable (y). X = 4, Y = 5. X = 6, Y = 8. You will get the slope as 1.5, y-intercept as -1 and the regression equation as -1 + 1.5x.