Regression is a statistical method that allows us to look at the relationship between two variables, while holding other factors equal.

A "Seasonal Dummies" predictor is a special feature that adds to the model seasonal indicator or "dummy" variables to serve as regressors for seasonal effects. A Seasonal Dummies input is added to the ...

Researchers often suggest the usefulness of regression models of market response as aids to market decision making. Commonly, models which involve monthly, bimonthly, or quarterly data explicitly ...

Note that if the model includes an intercept term, the number of seasonal dummy regressors is one less than s to ensure that the linear system is full rank. The seasonal dummy variables are included ...

The standard linear regression model does not apply when the effect of one explanatory variable on the dependent variable depends on the value of another explanatory variable. In this case, the ...

One reason for this might be that there are very few applications at an elementary level. This article gives a brief introduction to the geometric approach in regression analysis, and then geometry is ...

Hedonic regression applies regression analysis to estimate the relative impact of the variables that affect the price of a good or service.