Assumptions of Linear Regression | Dataford Interview Questions

Your question is Assumptions of Linear Regression. 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).

Problem

What are the assumptions of linear regression?

Asked in the Round 1 stage. Answer as a practical experimentation question: explain each assumption, describe how you would diagnose violations, and state the consequences for an A/B test analyzed with regression adjustment.

State the assumptions precisely, including linearity, independent errors, exogeneity, constant variance, and appropriate treatment of influential observations.
Distinguish assumptions needed for unbiased treatment-effect estimates from those mainly needed for standard errors and confidence intervals.
Provide a pre-registered analysis approach, including the primary estimand, MDE, diagnostics, and response to violations.
Explain how your conclusion changes if assumptions fail.

Your question is Assumptions of Linear Regression. 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 are the assumptions of linear regression?

State the assumptions precisely, including linearity, independent errors, exogeneity, constant variance, and appropriate treatment of influential observations.
Distinguish assumptions needed for unbiased treatment-effect estimates from those mainly needed for standard errors and confidence intervals.
Provide a pre-registered analysis approach, including the primary estimand, MDE, diagnostics, and response to violations.
Explain how your conclusion changes if assumptions fail.