12/2/2023 0 Comments Scatter plot correlation funnyCorrelations just refer to the averages across the data. It’s useful information, because the two things co-occur. But if all you knew about a person was their height, you’d have more information to guess their weight than if you didn’t know how tall they were. I highlight two individual points below in blue - they have essentially equivalent heights but have very different weights.ĭoes that mean that we can’t use height to predict weight? No. But we also have to acknowledge any single guess will be wrong. In the data, people that are taller typically weigh more, and those that weight less typically weigh less. Let’s look at the scatter plot below with some data for heights and weights The two things are highly correlated, meaning that one can be used as a predictor of the other. What does that mean? People that are taller typically weigh more, and people that are shorter typically weigh less. Let’s start with an example that will probably be immediately intuitive. Correlation describes a relationship between two things (generally two numeric variables) based on patterns of change, where a change is one is asscoaited wtih a change in the other. 17 Transforming Variables in RegressionĬorrelation isn’t a terribly complicated phenomenon to understand, but it can be hard to explain in a single clear sentence.8 Alternative Methods of Data Collection.
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