lab6 - Lab Assignment #6 STA 113 November 18, 2009 This is...

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Lab Assignment #6 STA 113 November 18, 2009 This is a real data set which was used in “Leo Breiman and Jerome H. Friedman (1985), Estimating optimal transformations for multiple regression and correlation, JASA, 80, pp. 580-598”. The problem is to predict the daily maximum one-hour-average ozone reading in Los Angeles. The original data set can be found in R under mlbench package with the name “Ozone”. The data set is provided along with this lab in the file ozone.txt . There are 12 predictor variables in the original data set. I have removed the categorical variables and the entries with missing information which leaves you with 9 predictor variables (X) and 203 observations. Y Daily maximum one-hour-average ozone reading X1 500 millibar pressure height (m) measured at Vandenberg AFB X2 Wind speed (mph) at Los Angeles International Airport (LAX) X3 Humidity (%) at LAX X4 Temperature (degrees F) measured at Sandburg, CA X5 Temperature (degrees F) measured at El Monte, CA X6 Inversion base height (feet) at LAX
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This note was uploaded on 01/17/2010 for the course STA 113 taught by Professor Staff during the Fall '08 term at Duke.

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