Linear and generalized linear models, which have been widely used in the analysis of field trails and breeding studies, are useful tools for agronomic research. The objective of this course is to introduce the fundamental theory and practical techniques of regression analysis. Several important topics, including parameter estimation, hypothesis testing, model selection and diagnostics, will be covered. Students will also learn how to use R to analyze real-world data. After successfully completing this course, students will be able to tackle real-world problems by using regression analysis, and interpret the analysis results correctly.