The Regression Model. Jun 03 2020 R-squared and Adj. In statistical modeling regression analysis is a set of statistical processes for estimating the relationships between a dependent variable and one or more independent variables.
However you can also enter values for the independent variables into the equation to predict the mean value of the dependent variable. In simple regression there is only one independent variable X and the dependent variable Y can be satisfactorily approximated by a linear function. And the predicted value as.
However you can also enter values for the independent variables into the equation to predict the mean value of the dependent variable.
The factor that is being predicted the factor that the equation solves for is called the dependent variable. And the predicted value as. The factors that are used to predict the value of the dependent variable are called the independent variables. Response variable is linear.