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The equation of the best-fitted line is given by Y = aX + b. The most commonly used type of regression is linear regression.

Regression coefficients are values that are used in a regression equation to estimate the predictor variable and its response.Important Notes on Regression Coefficients This means it is an indirect relationship. If the sign of the coefficients is negative it means that if the independent variable increases then the dependent variable decreases and vice versa.This means that if the independent variable increases (or decreases) then the dependent variable also increases (or decreases). If the sign of the coefficients is positive it implies that there is a direct relationship between the variables.Given below are the regression coefficients interpretation. It helps to check to what extent a dependent variable will change with a unit change in the independent variable. It is necessary to understand the nature of the regression coefficient as this helps to make certain predictions about the unknown variable.