1062-Applied Statistics I-22040

Registration：Now ~ Any Time
Course Period：2018-02-01 ~ 2018-06-30

• 1 the First Example of SLR
• 2 Simple Linear Regression Model
• 3 Inferences about Parameters in SLR
• 4 ANOVA Approach to SLR
• 5 Gamma Distribution and F Distribution
• 6 Coefficient of Determination
• 7 Diagnostics and Remedial Measures
• 8 MINITAB handout
• 9 Transformation
• 10 Regression through Origin
• 11 Matrix Approach to SLR
• 12 Multiple Regression
• 13 MINITAB Example - Multiple Regression
• 14 Model Selection
• 15 MINITAB Example - Model Selection
• 16 A Suggested Procedure for Multiple Regression Analysis
• 17 Building Regression Model - Diagnostics
• 18 Extra Sum of Suuares and Coefficient of Partial Determination
• 19 Polynomial Regression and Qualitative Predictor Variables
• 20 Weighted Least Squares