Your question is Validate Linear Regression Assumptions. 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).
What assumptions underlie linear regression, and how would you validate them?
Explain the assumptions required for reliable prediction and, separately, valid statistical inference. Describe the diagnostic plots or tests you would use, how you would interpret violations, and what corrective actions you would consider. Include how you would detect influential observations, multicollinearity, nonlinearity, heteroscedasticity, dependence, and data leakage.