How do I approach Machine Learning interview questions?

Machine Learning questions require understanding of core concepts and practice. PracHub provides solutions with explanations to help you master machine learning interviews.

What difficulty level is this interview question?

This is a medium difficulty Machine Learning question, commonly asked during Technical Screen rounds at Google.

What role is this question designed for?

This question is commonly asked for Data Scientist candidates at Google during technical interviews.

Explain Linear Regression to Non-Technical Stakeholders | Google Interview Question

Explain Linear Regression to Non-Technical Stakeholders

Last updated: Mar 29, 2026

Quick Overview

This question evaluates the ability to explain core supervised learning concepts—specifically linear regression—to non-technical stakeholders and to reason about robustness and evaluation when working with highly imbalanced datasets, measuring both communication skills and technical judgment in the Machine Learning/Data Science domain.

Google

Jul 12, 2025, 6:59 PM

Data Scientist

Technical Screen

Machine Learning

Scenario

You are explaining core machine learning concepts to non-technical stakeholders during a project discussion.

Questions

Explain linear regression to someone with no data background. Use plain language and a practical example. State the key assumptions and common pitfalls.
When the dataset is highly imbalanced:
- What techniques would you use to build a robust model?
- Why those techniques? Touch on resampling, algorithm-level options, decision thresholds, and evaluation.

Solution

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