Throughout the course, you have studied and used tools and techniques that have underlying statistical theory...

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Statistics

Throughout the course, you have studied and used tools andtechniques that have underlying statistical theory and assumptions.Regression is no different. Haphazard application of regressionanalysis, as with any type of statistical technique, can lead toresults that are inaccurate and that, even worse, can get you oryour employer into trouble (whether that trouble involves productfaults, legal issues, or simply wasted time and money). Thus, youmust always be cognizant of the conditions of the problem as theyrelate to the assumptions and theory associated with yourapplication of regression techniques.
Regression analysis is a statistical procedure, and it requiresthat certain assumptions be satisfied if you are to correctlyinterpret the results.
1. Which assumptions, if violated, can cause the greatest biasin the results of the regression analysis? Why?

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1 Linear and AdditiveIf we try to fit a linear model into a nonlinear and nonadditive data set then in that case regression algorithm will fail in capturing this trend mathematically So this will result in inefficient model and create erroneous predictions over unseen data set 2 See Answer

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