Neas-Seminars

Fox Module 2: Basics of regression analysis HW

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 By NEAS - 12/3/2009 12:20:44 PM Module 2: Basics of regression analysis  (The attached PDF file has better formatting.)  Homework Assignment: attributes of classical regression analysis  Claim severity and speed Suppose a regression of Y = the logarithm of claim severity on X = the speed of the car satisfies the five attributes of classical regression analysis on pages 15-17. Explain whether of regression of Yʹ = claim severity on X = the speed of the car satisfies each attribute. Jacob: What is this homework assignment asking? Rachel: Yʹ = eY. If the conditional distribution of Y, given X, is symmetric, is the conditional distribution of Yʹ, given X, symmetric or skewed? Answer this question for each of the five attributes on page 15-17:             symmetric vs skewed           single mode vs multiple modes           normal vs heavy tailed           equal vs unequal spread           linear vs non-linear  For four of these five attributes, the relation assumed in classical regression analysis does not hold for Yʹ if it holds for Y. Jacob: Are the five attributes explicitly listed? Rachel: The five attributes are implicit in Fox’s discussion: symmetric, unimodal, normal distribution, constant variance, and linear relation. By benhe - 1/23/2014 7:10:21 PM Is anyone finding this textbook very hard to follow? The questions have very little to do with what we read and seem to use a whole different text book. Does anyone have a source they have been using outside the Fox textbook to help them understand this material better? Please help. [NEAS: Most mathematical exam problems follow the formats in the practice problems on the discussion forum. The practice problems have much detail, so that you can follow the intution. The problems explain the material in the Fox textbook and have more detail, so that you can apply the methods to exam problems]