Automated multiple regression model-building techniques often hide important aspects of data from the data analyst. Such features as nonlinearity, collinearity, outliers, and points with high leverage ...

Multiple regression models with survey data Regression becomes a more useful tool when researchers want to look at multiple factors simultaneously. If we want to know whether the racial divide ...

The purpose of this paper is to introduce a multiple regression model that allows for stochastic changes of the trading-day coefficients used to calculate trading-day variations. Estimation and ...

Standardized regression coefficients are difficult to translate into business terms, but they are directly comparable. This allows you to determine which variables in your final model are really ...

You perform a multiple linear regression analysis when you have more than one explanatory variable for consideration in your model. You can write the multiple linear regression equation for a model ...

Learn how to graph linear regression in Excel. Use these steps to analyze the linear relationship between an independent and a dependent variable.