Review set
Reading regression coefficients and fit
The questions ask you to say what a coefficient reports and to resist the two upgrades regression output invites, from association to cause, and from explained variation to a good model. The formulas return readily; the reflex to treat a high fit statistic as reassurance is what needs unlearning.
What this involves
Retrieval after a delay, which is what makes knowledge durable.
Answers here count towards what the system knows about your skills.
What this covers
- Read what a fitted regression reports
Given regression output, the learner can state what a coefficient means as an average change per unit of the predictor, conditional on the others in the model and with its units, and treat
as in-sample explained variation rather than evidence of correctness. - Judge what a fitted regression does not establish
Given regression output and a described study, the learner can identify the design or identification argument, not the fit, as the source of any causal reading, and say when the classical standard errors are inappropriate and what should replace them.