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Unformatted text preview: The University of Western Ontario Department of Statistical and Actuarial Sciences Statistical Sciences 359a Quiz 1 Time Allowed: 60 Minutes Total Marks Available: 20 Each question is worth 6 marks. 1. (a) Explain the difference between a raw residual and a PRESS residual. (b) Give one reason for plotting studentized residuals instead of raw residuals. (c) Give a list of reasons for plotting residuals versus fitted values. 1 2. (a) Consider the data set gender age height F 10 140 F 15 150 F 20 160 M 12 135 M 16 170 M 20 180 i. Write out an appropriate linear regression model which might summarize all of these data, assuming the response variable is height . Make sure you clearly define all variables used in this model. ii. Write out the X matrix which would be used in the calculation of the estimates of the coefficients in your model. (b) (Multiple Choice) Consider the regression model y = α cos( x + β ) + ε where x and y are predictor and response, respectively. A BoxTidwell procedure...
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 Fall '10
 Braun
 Statistics, Linear Regression, Regression Analysis, regression model, Errors and residuals in statistics

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