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Conference Proceeding

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General Papers

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This paper is a second follow-up to “Green, Part One” and “Green Part Two.” In Part One the topic of Interrupted Time Series (ITS) is used to develop a multiple regression model to predict the usage of electricity at the author’s home. In the second paper a multiple regression model is developed to predict water usage in the home. The third paper is a follow-up paper after some of the data in the second paper was found to be spurious. This third paper not only cleans up the bad data, but looks at the proper usage of ITS versus a simple dummy variable. All three papers reveal our continued effort to save the planet by using less of its natural resources. The case is presented as a tutorial for a complex and real world student case.

About the Authors

Craig Harms received has Ph.D. from The Ohio State University in 1984. He has taught at Miami (Ohio) University from 1976-1980 and is currently at The University of North Florida in Jacksonville, Florida (1980-present). Currently using the 6th edition of his major book, The Swift Shoe Company, Dr. Harms is working on his 7th and last edition. The book has over 100 adoptions around the world including Notre Dame University and The University of Capetown, South Africa. His latest book, Technical Analysis in the Stock Market, 2011, is used in the quantitative methods course and is sold in the open market as a self help to conservative stock trading.

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