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Assignment_3 - Stat 371 Assignment 3 Spring 2010 Due in...

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Stat 371 Assignment 3 Spring 2010 Due in class: Tuesday June 29 The purpose of this question is to review some of the tools used to assess the fit of a model and to look for outliers in the data set. To do so we use an artificial example with 50 observations on a response variate y and two explanatory variates x 1 and x 2 . The data are stored in the file ass3q1.txt available on the course web page. The goal of the investigation is to predict y when x x 1 2 15 15 = = , . Start by fitting the model y x x r = + + + β β β 0 1 1 2 2 . a) Use plots of the estimated residuals and qq plots of the standardized residuals to determine if other terms (e.g. squares and products) or a transformation is needed. To create a nice format for your plots, you might like to use the R code par(mfrow=c(n,m)) where you select integers n and m. This creates an n x m array for the next nm plots you create. b) Decide on a final form for the model. c) Examine the studentized residuals for your model. Do you see any evidence of outliers in the y-direction?
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