Multiple Correlation measures the amount of linear association between one dependent (response) variable and more than one independent (explanatory) variables.
Multiple Correlation is is an extension of simple correlation (frequently just called correlation).
Symbols: Multiple Correlation Coefficient = R
Simple correlation coefficient = r
Purpose: The Multiple Correlation Coefficient can help determine if more than one independent variable should be included in the model.
First, let's look at an example, to see the output that should be expected.
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