# Linear, Multiple Regression Interview Questions Set 3 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:

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

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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:

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