Abstract: Assumptions play a pivotal role in the selection and efficacy of statistical models, as unmet assumptions can lead to flawed conclusions and impact decision-making. In both traditional ...

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In this short course we will cover how to analyze simple and multiple linear regression models. You will learn concepts in linear regression such as: 1) How to use the F-test to determine if your ...

This is a preview. Log in through your library . Abstract This article studies a new procedure to test for the equality of k regression curves in a fully non-parametric context. The test is based on ...

In the common non-parametric regression model the problem of testing for the parametric form of the conditional variance is considered. A stochastic process based on the difference between the ...

In this workshop we look at where we have more than one predictor in our linear model. Start by downloading labC05.Rmd and load it into RStudio. Any text in italics reminds you that you need to have a ...