Correlation Analysis Definition: Correlation analysis is a statistical method that evaluates the strength and direction of the linear relationship between two quantitative variables. It provides a numerical measure, known as the correlation coefficient, to describe the degree of association between the variables.

1. Correlation Coefficient: I've learned about the correlation coefficient (e.g., Pearson's correlation), which quantifies the strength and direction of the linear relationship between two variables. A coefficient close to 1 or -1 indicates a strong correlation, while close to 0 suggests a weak correlation.

2. Positive and Negative Correlation: The chapter covered positive correlation (both variables increase or decrease together) and negative correlation (one variable increases while the other decreases), emphasizing their implications for understanding relationships in data.

3. Limitations of Correlation: I've gained insights into the limitations of correlation analysis, particularly its inability to imply causation and its sensitivity to outliers, highlighting the importance of cautious interpretation in real-world applications.