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2 years ago

In multiple regression the process of isolating confounding variables is called?

Business

1 answer:

FromTheMoon [43]2 years ago

4 0

In multiple regression, the process of isolating confounding variables is called an analysis of covariance.

<h3>What are confounding variables? </h3>

The variables that can affect other variables in a way that could produce distorted associations among them are called confounding variables. They can affect variables that have some causal connection. They are also called spurious variables or extraneous variables. Sometimes it can be even unrepresentative of the true causal relationship or connection between them. If you collect data on ice cream consumption and sunburn it will be an example of confounding variables. Gender is also an example of a Confounding variable because of the relation between age and gender with old and young.

To learn more about, Confounding Variables, visit:

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3 years ago

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3 years ago

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3 years ago

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4 years ago