A Regression model is setup to understand the impact of factors A, B and C on the output Y. Post the model is tested, it is found that A and B correlate to each other. They are considered
OPTIONS
- Correlated
- Auto-correlated
- Collinear
- Confounded
ANSWER
Collinear
EXPLANATION
Collinear means correlated to each other unless they auto-correlate