Understanding Simple and Multiple Regression Analysis: Course Outline and Resources
This course provides a comprehensive overview of simple and multiple regression analysis, focusing on key concepts such as standard error, coefficient of determination, and residual analysis. Students will explore the evaluation of model accuracy and significance through quizzes and lab periods. The curriculum spans multiple weeks, including statistical inference in regression and extensive practice with real data. Resources, such as downloadable workbooks, are provided to enhance learning and assessment. Prepare to deepen your statistical analysis skills in this structured course.
Understanding Simple and Multiple Regression Analysis: Course Outline and Resources
E N D
Presentation Transcript
Class 3 Outline • Quiz timing • Simple linear regression • Standard error of the estimate • Calculation • Standardizing the value • Coefficient of determination • Calculation • Evaluation • Assessing model accuracy • Significance of b1 • An example • Quiz content • Lab period
Course Schedule • Week 3: Statistical Inference in Simple Regression • Week 4: Simple Regression • Introduction to Residual analysis • Quiz 1 (topics of Weeks 1-3 only, if given this week) • Week 5 • Residual analysis in simple regression • Introduction to multiple regression • Week 6: Multiple Regression • Extensions of simple regression theory • Week 7: Multiple Regression • Model building
Lab Period: Practice Quiz • Download the workbook Practice.xls from the Class 3 folder of the course website. • Compose your answers on the Solutions sheet. • The workbook Answers.xls, also in the Class 3 folder, has solutions.
