Regression analysis
Regression analysis Regression like , relation is a study of a relationship between variables Simple regulation : single explanatory variable Multiple regression : includes any number of explanatory variables Dependent variables : The single variable being explained/ predicted by the regression model Independent variable : Explanatory variables used to predict the dependent variable Residuals :Portions of dependent variables is not explained by the model Correlation tests or closeness and direction of relationship between the two phenomena . Regression gives the nature and extent of this relation, so that prediction can be made about dependent variable, for any value of independent variable. Clearly designates one variable as cause and the other effect , unlike the correlation Linear regression :straight line relationship, Y=mx+c In least square method of regulation ‘m’ and ‘b’ are calculated by equating the differencal of Loss Function (Yi-Pi) to zero Formula:- = de