Pass condition
Grade:60 Fraction
  • 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
Instructor
李信宏
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