Understanding Correlation and Regression: Exploring Relationships Between Quantitative Variables

Correlation is a statistical method used to assess the strength and direction of the relationship between two quantitative variables. Unlike regression analysis, correlation does not imply causation, meaning it does not provide insights into one variable causing changes in another. By examining data on two numerical variables, we can identify whether they move together (positive correlation) or in opposite directions (negative correlation). This understanding is essential for data analysis in various fields, including economics, psychology, and health.

• 1 correlation analysis 2 regression technique 3 quantitative variables 4 statistical relationship 5 data analysis 6 causation inference 7 positive correlation 8 negative correlation text

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