Assignment_3

Assignment_3 - 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

Info iconThis preview shows pages 1–2. Sign up to view the full content.

View Full Document Right Arrow Icon
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 12 15 15 = = , . Start by fitting the model y x x r =+ + + β 01 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?
Background image of page 1

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
Image of page 2
This is the end of the preview. Sign up to access the rest of the document.

This note was uploaded on 05/12/2011 for the course STAT 371 taught by Professor Ahmed during the Fall '09 term at Waterloo.

Page1 / 2

Assignment_3 - 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

This preview shows document pages 1 - 2. Sign up to view the full document.

View Full Document Right Arrow Icon
Ask a homework question - tutors are online