TUTOR:william
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TUTOR Self-Introduction
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TUTOR:william
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R and Simple Linear Regression: MLE Model Diagnostics
Variable Selection
1. R and Simple Linear Regression: MLE
R ÓïÑÔ¼ò½é¼°ÖªÊ¶×ÊÁÏ·ÖÏí ÀûÓÃggplot×÷ͼѧϰÍøÕ¾ÍƼö:¹þ·ð¹«¿ª¿Î https://rafalab.github.io
1. R and Simple Linear Regression: MLE Simple Linear Regression:
1.Ä£Ðͱí´ï:
2.»ù±¾¼ÙÉè:
Linearity, Normality, Constant Variance, Independence
1. R and Simple Linear Regression: MLE
Simple Linear Regression: 3.LSE:
1. R and Simple Linear Regression: MLE
Simple Linear Regression: 4.MLE:joint density of
1. R and Simple Linear Regression: MLE Simple Linear Regression:
5.Correlation coefficient:
SST: SSE: 6. coeffcient of determination:
2. Model Diagnostics 4¸ö»ù±¾¼ÙÉèµÄ¼ìÑé:residual vs fitted plot, Q-Q plot
2. Model Diagnostics 4¸ö»ù±¾¼ÙÉèµÄ¼ìÑé:residual vs fitted plot, Q-Q plot
2. Model Diagnostics
Outliers: Leverage plot:
2. Model Diagnostics
Outliers: CD plot:
3. Inference
3. Inference
3. Inference
3. Inference
6.Variable Selection
Forward and Backwardº¬ÒåÓëÇø±ð: Forward: Öð²½¼ÓÈëÖØÒª±äÁ¿ Backward: Öð²½Åųý·ÇÖØÒª±äÁ¿ ºâÁ¿±ê×¼:F-test,AIC,BIC
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