![]() ![]() The aim of linear regression is to model a continuous variable Y as a mathematical function of one or more X variable(s), so that we can use this regression model to predict the Y when only the X is known. The aim is to establish a linear relationship (a mathematical formula) between the predictor variable(s) and the response variable, so that, we can use this formula to estimate the value of the response Y, when only the predictors ( X s) values are known. Linear regression is used to predict the value of an outcome variable Y based on one or more input predictor variables X. ![]()
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