DataMites Correlation vs Causation
Correlation vs causation plays an important role in data science, healthcare research, marketing, and economics. Analysts often identify patterns between variables, but additional investigation is needed to establish cause-and-effect relationships. Understanding this concept helps learners question assumptions, evaluate evidence, and make reliable conclusions when working with statistical information and predictive models.