Calculate the actual correlation in the sample you have.Build a model of what the world could look like if there were no true correlation between your variables of interest.Here’s the gist for testing a correlation. It’s popular because it is easier to work with than alternatives. The basic idea is simple, though feels back-to-front. 9.8 Another worked example: the European Social Survey.8.12.2 Check that the residual mean is constant.8.11.4 Interpret using predicted probabilities.8.11.2 Interpret using the “divide-by-4” approximation.8.6 What is a generalised linear model?.8.5 Intermezzo: parametric versus nonparametric.7.12.2 How to test for interactions in R.7.12 Brief introduction to interactions.7.9 The intercept is not always the mean of the comparison group.7.6.3 Categorical predictors with 3 or more levels.7.6.2 How are binary (two-level) categorical predictors encoded?.7.6.1 How are categorical variables encoded?.7.6 Understanding factors in regression models.7.5 The punchline: occupation type does predict prestige.7 Categorical predictors and interactions.
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