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Example of a spurious relationship between Hair Length and Number of Diamond Rings

Let's conduct a survey and ask 100 fictional people about their

We see that people with longer

Based on our survey, we conclude that

##### Investigating a spurious relationship with scatter plots

But, wait. Something is wrong with this conclusion. Does really *females* have both longer *and* higher

It's clear from the scatter plot above that females have both longer *and* a higher

Since

*false* statistical relationships which fool us. And the statistical relationship between

##### Identify a spurious relationship with statistics

How can we tell if the statistical relationship between *all three* variables

The

The new

Based on these two

##### Omitted-variable bias and regression analysis

We can only tell if a statistical relationship is a

To be 100% sure that a statistical relationship between a *all possible* variables affecting both variables in our regression analysis. Failing to do so will make us conclude that *omitted-variable bias*.

##### Similar terms and concepts

- False correlation
- Omitted-variable bias

Easystat makes it as easy as possible to analyze whether a statistical relationship is really a