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Linear Regression Interview Questions | Day 19

Today is Day 19 and we will clear all the Interview Questions related to Linear Regression.
Linear Regression Interview Questions is the first part of the three days series. All the questions of today will revolve around the assumptions of Linear Regression.
Go through the below Linear Regression Interview Questions

Linear Regression Interview Questions

What is Linear Regression – http://thedatamonk.com/question/linear-regression-what-is-a-linear-regression/
What are the assumptions of Linear Regression – http://thedatamonk.com/question/linear-regression-what-are-the-assumptions-of-linear-regression/
What is Auto-correlation – http://thedatamonk.com/question/linear-regression-what-is-auto-correlation-in-linear-regression-assumption/
What is multi-variate normality – http://thedatamonk.com/question/linear-regression-what-is-multivariate-normality-in-assumptions-of-linear-regression/
What is Homoscedacity – http://thedatamonk.com/question/linear-regression-what-is-homoscedasticity-in-assumptions-of-linear-regression/
What is Multicollinearity – http://thedatamonk.com/question/linear-regression-what-is-multicollinearity/
What is VIF – http://thedatamonk.com/question/linear-regression-what-is-variance-inflation-factor-how-is-it-used/
What is Correlation Matrix – http://thedatamonk.com/question/linear-regression-what-is-correlation-matrix/
Is it necessary to satisfy all the assumptions of Linear Regression – http://thedatamonk.com/question/linear-regression-is-it-necessary-to-satisfy-all-the-assumptions-of-linear-regression/
What is Error Term – http://thedatamonk.com/question/linear-regression-what-is-error-term/

Data Science interview questions


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1. 112 Questions to crack Business Analyst interview using SQL – The most important book of the package
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3. 125 Must have Python Interview Questions – To start with Python
4. Visualization in Python – Covering Visualization in Python
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7. Top 300+Interview Questions in Data Science – Covering statistics,python,SQL,case studies,guesstimates
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