Which analysis reveals the relationship and frequency between variables?

The analysis that reveals the relationship and frequency between variables is affinity grouping analysis. This technique is particularly useful in identifying patterns or associations among various data points, demonstrating how frequently certain items or variables co-occur. It is commonly used in market basket analysis, where the aim is to understand consumer behavior by identifying sets of products purchased together.

In contrast, cluster analysis seeks to group similar items into clusters based on characteristics, without necessarily examining the relationship or frequency between specific variables. Classification analysis is used to categorize data into predefined classes based on certain features but does not specifically focus on frequency relationships. Outlier analysis concentrates on identifying anomalies or outliers in the data set rather than examining relationships between multiple variables. Thus, affinity grouping analysis is the most appropriate choice for understanding the connections and frequencies among variables.