1. Suppose you are looking at a simple linear regression = b₀ + b₁X. However, you found you mixed up X with Y, and realized it should be the other way: = ... + ...Y. Then...
2. We can no longer make the prediction using the new model.
3. Interchanging the two variables' locations will NOT have any impact.
4. In the new case, X will still be observed variables and Y will be estimated.
5. If we are only calculating Pearson's r, changing the locations will NOT change the correlation score.

Please select one