Linear, Multiple Regression Interview Questions Set 1

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This page lists down the practice tests / interview questions and answers 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.

Note that this is a series of tests which represents questions covering following topics:

  • Concepts related with simple linear regression and multi-linear regression
  • R-squared and Adjusted R-squared
  • Tests such as T-test, ANOVA tests for hypothesis testing

Other tests in the series includes some of the following:

In _________ regression, there is ________ dependent variable and ________ independent variable(s)

In _________ regression, there is ________ dependent variable and ________ independent variable(s)

It is OK to add independent variables to a multi-linear regression model as it increases the explained variance of the model and makes model more effcient

Linear or multilinear regression helps in predicting _______

Regression analysis helps in studying __________ relationship between variables.

Regression analysis helps in doing which of the following?

The best fit line is achieved by finding values of the parameters which minimizes the sum of __________

Best fit line is also termed as _______

Which of the following can be used to understand the statistical relationship between dependent and independent variables in linear regression?

It is absolutely OK to state that correlation does imply causation

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

Ajitesh Kumar

Ajitesh is passionate about various different technologies including programming languages such as Java/JEE, Javascript, PHP, C/C++, mobile programming languages etc, and, computing fundamentals related with cloud-native technologies, application security, cloud computing platforms, mobile apps, big data etc.

He has also authored the book, Building Web Apps with Spring 5 and Angular.
Ajitesh Kumar

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