Basics II

Welcome back, Mathletic Supporters! After a splendid long weekend with friends in New York, and then at Ladies Rock Camp (http://girlsrockri.org/, or more generally: http://girlsrockcampalliance.org/ – but more about these next week), I am reminded again of how important the basics are: good friends,good music, and – uh – good foundations in statistical modeling. Last week, we talked about two of the assumptions of linear (OLS) regressions. This week let’s pick that conversation back up with the other two main assumptions.

Back to Basics

Howdy brainiacs! You’re not deluded. This week’s post is indeed two days late, indeed. I have a great excuse, though; I was away visiting old college buddies this past weekend. Great time, but I am jet-lagged.

Let me say, if you are ever in the mood for great food, lovely people, and scenic  – well, scenery, get yourself to Portland, Oregon. I may have to compile a list of the nifty places that we hit up, so you can add them to your tourist lists.

In the meantime, seeing great old friends this weekend made me think about getting back to basics.  For instance, we all run multivariate regressions (don’t we?), but how often do we really check our underlying assumptions? This week, let’s start with linear regression, and build up in the next few weeks to other types of regressions.