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 Lessons 4 and 7, we learned tools for detecting problems with a linear regression model. If important predictor variables are omitted, see whether adding the omitted predictors improves the model. If the mean of the response is not a linear function of the predictors, try a different function. For example, polynomial regression involves transforming one or more predictor variables while remaining within the multiple linear regression framework.