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The difference between correlation and regression

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Linear regression vs Correlation coefficient:

When is it best to use either of them? What types of variables can you apply them to, how many variables can each encompass, and which can be employed for a prediction of a new observation?

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The expert explains the difference between correlation and regression and when to use each approach.

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When you want to determine whether two variables are related to one another, and how, you can use a correlation. A correlation coefficient (r) will range between -1 and +1. The closer it is to -/+1, the stronger the correlation, which means the stronger the relation between the variables is. For example, we would expect a very strong positive correlation coefficient (maybe r=0.80) for the relationship between age and number of years of education if we looked at people between 1-25 years of age. This is because for most people, as you age one year, you complete one more ...

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