Category Archives: 15. Modelling – regression

Modelling – ordinary least squares regression

Posted on May 8, 2013 by robayedavies

Let’s work on our understanding of regression while we work through some examples. We have two datasets to work with, one on the attributes of the participants of a lexical decision study (their age, reading skill etc.), and one on … Continue reading →

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Modelling – ordinary least squares regression in R

Posted on May 8, 2013 by robayedavies

We will be looking at how you can do regression in R. More than one function call will do this, lm() and ols() in R. Don’t ask me why, I might find out another time. Ordinary least squares regression: — … Continue reading →

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Modelling – some conceptual foundations

Posted on May 8, 2013 by robayedavies

We have discussed the relationships between pairs of variables, we will now move on to analyzing our data using linear regression. Slides on regression can be downloaded here. You will see in those slides that I rely very heavily on … Continue reading →

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