Briefly, the two R values and the p-value all indicate how well the model fits the data. An R value of 1.0 means a perfect fit and a p-value of 0.0 means a perfect fit. Making Predictions In R you can ...

10.3.1 Scatterplot matrix. Recall that we use SAS’s scatterplot matrix feature to quickly scan for pairs of explanatory variables that might be colinear. To do this in R we must first make sure we ...

In this module, we will introduce the basic conceptual framework for statistical modeling in general, and linear statistical models in particular. In this module, we will learn how to fit linear ...

Line of Best Fit. Line of Best Fit and Regression Analysis . To perform a regression analysis, a statistician collects a set of data points, each including a complete set of dependent and ...

By using the regression function `svyglm()` in R, we can conduct a regression analysis that includes party differences in the same model as race. Using `svyglm()` from the survey package (rather than ...