Multiple regression is a broader class of regression analysis, which encompasses both linear and nonlinear regressions with multiple explanatory variables. Regression analysis is a statistical ...

However, there may be circumstances where the relationship between the variables is non-linear (i.e., does not take the shape of a straight line), and we can draw other shaped lines through the ...

Often, regression models that appear nonlinear upon first glance are actually linear. The curve estimation procedure can be used to identify the nature of the functional relationships at play in ...

Multiple and Non-Linear Regression The variable you are trying to estimate is referred to as dependent, while the variable you use in the model to predict the dependent variable is called independent.

Linear Regression vs. Multiple Regression Example Consider an analyst who wishes to establish a relationship between the daily change in a company's stock prices and daily changes in trading volume .