![]() For example, conscientiousness may relate to life satisfaction. That is, when one variable goes up, then the other goes up too however, once you get to a certain point, the relationship goes back down. Often, we call the latter of these relationships (the upside down U) a “too much of a good thing” effect. In these instances, the relationship between two variables may look like a U or an upside-down U. In these cases, we need to apply different types of regression.Ī common non-linear relationship is the quadratic relationship, which is a relationship that is described by a single curve. ![]() Sometimes our effects are non-linear, however. As always, if you have any questions, please email me at typical type of regression is a linear regression, which identifies a linear relationship between predictor(s) and an outcome. This page is a brief lesson on how to calculate a quadratic regression in Excel. For this reason, we should turn to other types of regression. Sometimes linear regression doesn’t quite cut it – particularly when we believe that our observed relationships are non-linear.
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