Last month we explored how to model a ... dependence on several variables, we can use multiple linear regression (MLR). Although MLR is similar to linear regression, the interpretation of MLR ...

we might also want to control for unobserved variables, such as the management quality of the firms. Assuming that the firms’ management quality is constant over time, we can use regression models to ...

A graphical plot of your residuals is an important diagnostic of how well your data fits your predictive model. Your ...

A behind-the-scenes blog about research methods at Pew Research Center. For our latest findings, visit pewresearch.org. Many of Pew Research Center’s survey analyses show relationships between two ...

Multicollinearity exists when there is a correlation between multiple independent variables in a multiple regression model. This can adversely affect the regression results. A variance inflation ...

While multiple machine learning (ML) algorithms offered similar predictive performance, the cost-effective analysis revealed ...