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 ...

A smaller RSS figure represents a regression function that is well-fit to the data. The RSS, also known as the sum of squared residuals, essentially determines how well a regression model explains ...

The main function to fit regression models for competing risks data is crr(), which is contained in the cmprsk package. In the simplest form it requires a vector of follow-up times, ...

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 ...

DTSA 5011 Modern Regression Analysis in R; DTSA 5011 Modern Regression Analysis in R. ... In this module, we will learn how to fit linear regression models with least squares. We will also study the ...

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 ...