Statistics I: Introduction to ANOVA, Regression, and Logistic Regression, Course Notes

This course focuses on the following key areas: statistical inference, analysis of variance, multiple
regression, categorical data analysis, and logistic regression. You learn to construct graphs to explore and summarize data, construct confidence intervals for means, test hypotheses, apply multiple comparison techniques in ANOVA, assess and correct collinearity in multiple regression, use diagnostic statistics to identify potential outliers in multiple regression, use chi-square statistics to detect associations among categorical variables, and fit a multiple logistic regression model.Statistics I: Introduction to ANOVA, Regression, and Logistic Regression Course Notes was developed by Melinda Thielbar, Mike Patetta, and Paul Marovich. Additional contributions were made by John Amrhein, Marc Huber, Dan Kelly, Bob Lucas, Jill Tao, and Catherine Truxillo. Editing and production support was provided by the Curriculum Development and Support Department.