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Which of the following things can be accomplished with linear model? (a) Flexibly fit complicated functions (b) Uncover complex multivariate relationships (c) Build accurate prediction models (d) All of the mentioned This question was addressed to me during a job interview. My query is from Residual Variation and Multivariate 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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The correct option is (d) All of the mentioned Best explanation: Linear models are the single most important applied statistical and machine learning technique.

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