WHAT IS THE DIFFERENCE BETWEEN CORRELATION AND CAUSATION IN NUMERIC ANALYSIS?
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Level:
Medium
06 simple simple Quizzes about Numeric Analysis in Data Science
Question Types: Multiple choice
Answers:
- Correlation is a supervised learning technique, while causation is an unsupervised learning technique
- Correlation involves categorical variables, while causation involves numerical variables
- Correlation is used for classification tasks, while causation is used for regression tasks
- Correlation indicates a relationship between variables, while causation implies that one variable causes another
- Correlation measures the strength of a relationship, while causation measures the direction of the relationship