How does multicollinearity affect the interpretation of R² in a regression model?

Multicollinearity improves the model's predictive power.

Multicollinearity decreases the R² value.

Multicollinearity has no effect on R².

Multicollinearity can inflate the R² value, making the model appear better than it is.