Your question is Handle Multicollinearity. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
How do you deal with multicollinearity in regression?
Explain how you would diagnose it, assess whether it threatens the objective, and select an appropriate remedy. Address the implications for coefficient interpretation, prediction, inference, and model validation. Include a practical workflow and describe when you would retain correlated variables rather than remove them.