Statistics for Data Science and Business Analysis - What is the Difference Between Correlation and Regression?

The video tutorial explains the difference between correlation and regression. Correlation measures the degree of relationship between two variables but does not imply causation. Regression, on the other hand, is about how one variable affects another, focusing on causality. The video highlights that correlation is symmetrical, while regression is not, using examples like income and education. It also contrasts their graphical representations, with regression showing a best-fitting line and correlation as a single point.

Why might predicting income based on education make sense, but not the other way around?

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Describe the graphical representation differences between linear regression and correlation.

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