Unabhängigkeitsanalyse
Unabhängigkeitsanalyse, also known as independence analysis, is a statistical method used to determine whether two or more variables are related to each other or if they vary independently. This concept is fundamental in various fields, including statistics, machine learning, and data science. The goal is to understand the structure of relationships within a dataset.
Several statistical tests can be employed for independence analysis. For categorical variables, the chi-squared test of
The interpretation of independence analysis results is crucial. A statistically significant result suggests that the variables
Understanding variable independence is vital for building accurate predictive models, making informed decisions, and avoiding spurious