Lesson 10: CORRELATION AND REGRESSION

Lesson 10: CORRELATION AND REGRESSION

Correlation and linear regression are the most commonly used techniques for investigating the relationship between two quantitative variables. The goal of a correlation analysis is to see whether two measurement variables co vary, and to quantify the strength of the relationship between the variables, whereas regression expresses the relationship in the form of an equation.

 

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