Explain Linear Regression Assumptions
Company: Databricks
Role: Data Scientist
Category: Statistics & Math
Difficulty: hard
Interview Round: Technical Screen
Quick Answer: This question evaluates understanding of ordinary least squares linear regression assumptions and their implications for unbiased coefficient estimates, valid confidence intervals and hypothesis tests, and strong predictive performance, along with competence in diagnosing assumption violations and distinguishing causal inference from prediction goals. It is commonly asked to probe statistical reasoning and model-validity judgment, falls under the Statistics & Math domain, and requires both conceptual understanding of theoretical assumptions and practical application of diagnostic interpretation.