70 Regression Analysis Interview Questions & Practice Tests

Linear and logistic regression interview questions and practice tests

This page lists down practice tests (questions and answers), links to PDF files (consisting of interview questions) on Linear / Logistic Regression for machine learning / data scientist enthusiasts. These questions can prove to be useful, especially for machine learning / data science interns / freshers / beginners to check their knowledge from time-to-time or for upcoming interviews.

Practice Tests on Linear / Multilinear Regression

These are a set of four practice tests (consisting of 40 questions) covering linear (univariate) and multilinear (multivariate) regression in detail.

Some of the following topics have been covered in these tests:

  • Introduction to linear, multilinear regression
  • Linear regression examples
  • Evaluation of linear / multilinear regression models and related techniques including t-test and ANOVA F-tests
  • Sum of squares calculations
  • Topics such as coefficient of determination, pearson correlation coefficient




Practice Tests on Logistic Regression

These are a set of three practice tests (consisting of 30 questions) covering logistic regression in detail.

Some of the following topics have been covered in these tests:

  • Introduction to logistic regression
  • Evaluation of logistic regression model and related techniques such as AIC, Deviance (Null and Residual), ROC curve etc.

Linear, Logistic Regression Interview Questions (PDF)

 

Ajitesh Kumar
Follow me

Ajitesh Kumar

I have been recently working in the area of Data Science and Machine Learning / Deep Learning. In addition, I am also passionate about various different technologies including programming languages such as Java/JEE, Javascript, Python, R, Julia etc and technologies such as Blockchain, mobile computing, cloud-native technologies, application security, cloud computing platforms, big data etc. I would love to connect with you on Linkedin.
Posted in Data Science, Freshers, Interview questions, Machine Learning. Tagged with , , , , .

Leave a Reply

Your email address will not be published. Required fields are marked *

Time limit is exhausted. Please reload the CAPTCHA.