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Which of the following refers to the circumstance in which the variability of a variable is unequal across the range of values of a second variable that predicts it? (a) Heterogeneity (b) Heteroskedasticity (c) Heteroelasticty (d) None of the mentioned I got this question by my college professor while I was bunking the class. Question is from Introduction to Regression Models topic in chapter Statistical Inference and Regression Models of Data Science Select the correct answer from above options Data Science questions and answers, Data Science questions pdf, Data Science question bank, Data Science questions and answers pdf, mcq on Data Science pdf, Data Science questions and solutions, Java mcq Test , Interview Data Science questions, Data Science Questions for Interview, Data Science MCQ (Multiple Choice Questions),Core Data Science Questions, Core Data Science MCQ,core Data Science interview questions for experiencedcore Data Science interview questions for 3 years experience,Data Science programming questions,core Data Science interview questions for freshers,Data Science interview questions and answers for freshers, Data Science programming questions and answers pdf, Data Science interview questions for beginners

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Right option is (b) Heteroskedasticity Easiest explanation - Heteroskedasticity has serious consequences for the OLS estimator.

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