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Google Interview : Should we spend 1M$ on advertising? | Regression Model Mistakes

Ever trained a regression model and thought — "This trend looks solid, let’s scale it up"? Well… not so fast. In this video, we break down a common interview question that catches even experienced data scientists off guard. The setup: Your model shows a strong positive trend between ad spend and sales. Then a stakeholder asks, "If we spend a million dollars on ads, can we expect our revenue to grow proportionally?" Do you trust the model? Or are you walking into an extrapolation trap? We’ll cover: Why regression models have limits The risks of predicting outside your data range What a strong interview answer looks like This is a must-watch for anyone preparing for data science, ML, or analyst interviews — especially with companies like Google. Drop your answer to the question in the comments. Would you have caught the mistake? Like, comment, and subscribe for more real-world data science interview tips. #datascience #interviewprep #regression #machinelearning #googleinterview #statistics #extrapolation