(Dive down for further discussion of the assumptions underlying regression analysis, or examine a workbook which illustrates some ... [1] Why is it valuable to be able to unravel linear relationships?

If this hypothesis is true, then our linear model is not "useful," in the sense that our explanatory ... association/ model following exactly the same principles that we've learnt in statistical ...

It is not desirable to use ordinary regression analysis for time series data since the assumptions on which the classical linear regression model is based will usually be violated. Violation of the ...

AND Mathematical Methods (MA100) or equivalent. It is assumed students have taken at least a first course in linear algebra. A solid coverage of the most important parts of the theory and application ...

id=8714) A solid coverage of the most important parts of the theory and application of regression models, and generalised linear models. Multiple regression and regression diagnostics. Generalised ...

In this module, we will introduce generalized linear models (GLMs) through the study of binomial data. In particular, we will motivate the need for GLMs; introduce the binomial regression model, ...

Model building via linear regression models. Method of least squares, theory and practice. Checking for adequacy of a model, examination of residuals, checking outliers. Practical hand on experience ...