Regression for Finance

Fitting a regression takes one line of code. Knowing whether the model is allowed to say what it appears to say takes the rest of this course. Two models with identical R squared, one sound and one broken, and the residuals are what tell them apart.

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Six things you will be able to do

Go past the coefficient table. Learn to check whether the model earned its answer before you use it.

01 Fit and interpret a regressionWhat a coefficient means in the units of the problem, said in plain language.
02 Read R squared honestlyWhat it measures, and why a high value proves less than people assume.
03 Check the assumptionsLinearity, constant variance, independence and normality, each one tested.
04 Plot the residualsThe single most informative chart, and the patterns that condemn a model.
05 Handle multiple predictorsMulticollinearity, and why adding variables can make coefficients meaningless.
06 Separate fit from causationWhat the model establishes about association, and what it never establishes.

What changes after this course

You stop reading the coefficient table and stopping there, and start checking whether the model is entitled to the answer it gave you.

A regression fitted and its coefficients interpreted in plain language

Residuals plotted and read, so a broken model does not pass unnoticed

An honest statement of what the model shows, and what it cannot claim

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