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 ...

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 ...

Using historical data and regression analysis has its limitations in business forecasting. For example, a significant correlation between the independent and dependent variable does not ...

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 ()` ...

A linear regression is a statistical model that attempts to show the relationship between two variables with a linear equation. A regression analysis involves graphing a line over a set of data ...

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).