Linear, Multiple Regression Interview Questions Set 2

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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.

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

  • Coefficient of determination (R-squared)
  • Pearson correlation coefficient

Note that the above two concepts are used to understand some of the following:

  • Impact of one or more parameters on the dependent variable in positive or negative manner
  • Overall impact/performance of regression model based on addition of one or more independent variables

Other tests in the series includes some of the following:

The value of coefficient of determination, R-squared, is _________

Correct! Wrong!

Which of the following can be used to understand the positive or negative relationship between dependent and independent variables

Correct! Wrong!

The goal of the regression model is to achieve the R-squared value ________

Correct! Wrong!

Pearson correlation coefficient is __________ to coefficient of determination

Correct! Wrong!

Pearson correlation coefficient does always have positive value

Correct! Wrong!

Value of Pearson correlation coefficient near to zero represents the fact there is a stronger relationship between dependent and independent variables

Correct! Wrong!

Population correlation coefficient and sample correlation coefficient are one and the same

Correct! Wrong!

The value of Pearson correlation coefficient falls in the range of _________

Correct! Wrong!

The value of correlation coefficient and R-squared remains same for all samples of data

Correct! Wrong!

The large value of R-squared can be safely interpreted as the fact that estimated regression line fits the data well.

Correct! Wrong!

Linear, Multiple Regression Interview Questions Set 2
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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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