Course Topics The short course will illustrate how to use JMP in linear regression analysis. The three main topics will be: Exploratory data analysis, simple liner regression and polynomial regression ...

Methods to determine the validity of regression models include comparison of model predictions and coefficients with theory, collection of new data to check model predictions, comparison of results ...

This is where regression comes in. 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 ()` ...

There are non-parametric tests that mirror those of parametric tests. For example, a parametric test for two samples (2-sample t) will have an equivalent non-parametric test (Mann-Whitney).

The existence of multiple observations within several cross sections gives rise to both opportunities and problems in the application of regression analysis. In this article the issues associated with ...

A regression shows the extent to which changes in a "dependent variable," which is put on the y-axis, can be attributed to changes in an "explanatory variable," which is placed on the x-axis.