what is the relationship between the strength of the correlation... and your accuracy making predictions using linear regression



Answer :

It is irrelevant whether you use a correlation coefficient or the matching regression coefficient when you have two variables.

Define correlation.

The degree of a linear link between two quantitative variables is measured by the term "correlation" (e.g., height, weight).

Given,

The relationship between the strength of the correlation:

You must believe there is no association between your two variables, according to my assumption. There are two possible conclusions that statistical theory (hypothesis testing) can reach.

You can disregard your theory.

You may not successfully reject your hypothesis. This is distinct from endorsing your hypothesis. It's possible that you lack the facts to fully refute the theory. There might be a very slight non-zero link.

It is irrelevant whether you use a correlation coefficient or the matching regression coefficient when you have two variables.

To learn more about correlation, visit:

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