A Level Biology Practice Exam 2026 – 400 Free Practice Questions to Pass the Exam

Calculating a correlation coefficient is a method used to assess the degree of relationship between two quantitative datasets. This statistical measure provides insights into how changes in one variable may correspond with changes in another, allowing researchers to determine whether there is a positive, negative, or no correlation between the two variables. The correlation coefficient ranges from -1 to +1, where values close to 1 indicate a strong positive relationship, values close to -1 indicate a strong negative relationship, and values around 0 suggest no correlation.

The correct choice emphasizes the importance of quantitative data since correlation specifically looks at numerical relationships, distinguishing it from qualitative analyses, such as those involving surveys or categorical data. While agreement between measurements and frequency distributions can be valuable in other contexts, they do not pertain to the calculation of correlation coefficients, which is exclusively concerned with exploring relationships between quantitative variables.