Identity theft occurs when someone fraudulently obtains or uses your personal information, such as your name, social security number, or credit card number. The Department of Revenue is committed to preventing refund fraud.
Linear regression is the most basic and commonly used predictive analysis. Regression estimates are used to describe data and to explain the relationship between one dependent variable and one or more independent variables.
In statistics, linear regression models the relationship between a dependent variable and one or more explanatory variables using a linear function. If two or more explanatory variables have a linear relationship with the dependent variable, the regression is called a multiple linear regression. Multiple regression, on the other hand, is a broader class of regressions that encompasses linear and nonlinear regressions with multiple explanatory variables. Regression analysis is a common way to discover a relationship between dependent and explanatory variables.