Linear, Multiple Regression Interview Questions Set 3

machine learning interview questions

This page lists down the practice tests / interview questions for Linear (Univariate / Simple Linear) / Multiple (Multilinear / Multivariate) regression in machine learning. Those wanting to test their machine learning knowledge in relation with linear/multi-linear regression would find the test useful enough. The goal for these practice tests is to help you check your knowledge in numeric regression machine learning models from time-to-time. More importantly, when you are preparing for interviews, these practice tests are intended to be handy enough. Those going for freshers / intern interviews in the area of machine learning would also find these practice tests / interview questions to be very helpful.

This test primarily focus on following two concepts related with linear regression models:

  • Hypothesis testing (Null hypothesis) vis-a-vis P-value
  • T-tests vis-a-vis ANOVA (Analysis of Variance) F-tests
  • R-squared vs adjusted R-Squared

Note some of the following in relation with tests:

  • Linear association between dependent and independent variables is determined using both T-test and ANOVA F-tests
  • Adjusted R-Squared value is used to determine the impact of introducing new independent variable in the regression model. As like R-squared value which increases with addition of new predictor variables, adjusted R-squared value increased only when there is a positive impact or else the value of adjusted R-squared value decreases.

Other tests in this series includes some of the following:

The value of correlation coefficient and coefficient of determination is used to study the strength of relationship in ________

Correct! Wrong!

Which of the following tests can be used to determine whether a linear association exists between the dependent and independent variables in a simple linear regression model?

Correct! Wrong!

In order to estimate population parameter, the null hypothesis is that the population parameter is ________ to zero?

Correct! Wrong!

Which of the following can be used for learning the value of parameters for regression model for population and not just the samples?

Correct! Wrong!

The value of R-Squared _________ with addition of every new independent variable?

Correct! Wrong!

In order to reject the null hypothesis while estimating population parameter, p-value has to be _______

Correct! Wrong!

The value of ____________ may increase or decrease based on whether a predictor variable enhances the model or not

Correct! Wrong!

The value of Adjusted R-squared _________ if the predictor variable enhances the model less than what is predicted by chance?

Correct! Wrong!

In regression model t-tests, the value of t-test statistics is equal to ___________?

Correct! Wrong!

Linear, Multiple Regression Interview Questions Set 3
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In case you have not scored good enough, it may be good idea to go through basic machine learning concepts in relation with linear / multi-linear regression. Following is the list of some good courses / pages:

Ajitesh Kumar
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Ajitesh Kumar

I have been recently working in the area of Data analytics including Data Science and Machine Learning / Deep Learning. I am also passionate about 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. For latest updates and blogs, follow us on Twitter. I would love to connect with you on Linkedin. Check out my latest book titled as First Principles Thinking: Building winning products using first principles thinking
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