Simple linear regression A statistical method that allows us to summarize and study relationships between two continuous quantitative variables. Simple linear regression is a function that allows an analyst or statistician to make predictions about one variable based on the information that is known about another variable. Linear regression further branches out to Simple Linear Regression SLR and Multiple Linear Regression MLR.
In statistics linear regression is a linear approach to modelling the relationship between a scalar response and one or more explanatory variables also known as dependent and independent variablesThe case of one explanatory variable is called simple linear regression.
Our model will take the form of y b 0 b 1 x where b 0 is the y-intercept b 1 is the slope x is the predictor variable and y an estimate of the mean value of the response variable for any value of the predictor. There are 2 types of factors in regression analysis. The simple linear regression equation is graphed as a straight line where. Linear regression is a model that assumes a linear relationship between its dependent and independent variables.