Table of Contents

0 What Is a Statistical Model?.-  Unit A: Linear Regression 1 Simple Linear Regression.- 2 Inference for Simple Linear Regression.-  3 Multiple Regression.- 4 Additional Topics in Regression.- Unit B: Analysis of Variance 5 One-way ANOVA.- 6 Multifactor ANOVA.- 7 Additional Topics in Analysis of Variance.- 8 Overview of Experimental Design.- Unit C: Logistic Regression.- 9 Logistic Regression.- 10 Multiple Logistic Regression.- 11 Additional Topics in Logistic Regression 



  


 
 

About the Author

Ann R. Cannon has been a faculty member at Cornell College since 1993. She is currently Professor of Statistics in the Department of Mathematics and Statistics. 
George Cobb is Robert l. Rooke Professor emeritus at Mount Holyoke College, where he taught from 1974 to 2009 after earning his PhD in statistics from Harvard University.
Brad Hartlaub joined the faculty of Kenyon College, Minnesota in 1990. He is a nonparametric statistician, and his research deals with rank-based tests for detecting interaction.
Julie Legler is Professor of Statistics and Director of the Statistics Program at St. Olaf College in Minnesota.
Robin H. Lock is the Jack and Sylvia Burry Professor of Statistics at St. Lawrence University where he has taught since 1983 after receiving his PhD from the University of Massachusetts- Amherst.
Thomas Moore is a Fellow of American Statistical Association and was the2008 Mu Sigma Rho Statistical Education Award winner.
Allan J. Rossman is Professor of Statistics at Cal Poly – San Luis Obispo and previously taught in the Department of Mathematics and Computer Science at Dickinson College, Pennsylvania.
Jeff Witmer is Professor of Mathematics at Oberlin College, Ohio and is a Fellow of the American Statistical Association.