4 Chương
34 bài học
Không giới hạn số lần học
Mở rộng tất cả các phần
Thu gọn tất cả các phần
I. Simple Linear Regression
10
1.1
A. What is Simple Linear Regression?
1.2
B. What is the “Best Fitting Line”?
1.3
C. The Simple Linear Regression Model
1.4
D. What is The Common Error Variance?
1.5
E. The Coefficient of Determination
1.6
F. (Pearson) Correlation Coefficient
1.7
G. Some Examples
1.8
H. Cautions
1.9
I. Hypothesis Test for the Population Correlation Coefficient
1.10
J. Further Examples
II. SLR Model Evaluation
12
2.1
A. Inference for the Population Intercept and Slope
2.2
B. Another Example of Slope Inference
2.3
C. Sums of Squares
2.4
D. Sums of Squares (continued)
2.5
E. Analysis of Variance: The Basic Idea
2.6
F. The Analysis of Variance (ANOVA) Table and the F-test
2.7
G. Example: Are Men Getting Faster?
2.8
H. Equivalent Linear Relationship Tests
2.9
I. Notation for the Lack of Fit Test
2.10
J. Decomposing the Error
2.11
K. The Lack of Fit F-test
2.12
L. Further Examples
III. SLR Estimation & Prediction
4
3.1
A. The Research Questions
3.2
B. Confidence Interval for the Mean Response
3.3
C. Prediction Interval for a New Response
3.4
D. Further Example
IV. SLR Model Assumptions
8
4.1
A. Background
4.2
B. Residuals vs. Fits Plot
4.3
C. Residuals vs. Predictor Plot
4.4
D. Identifying Specific Problems Using Residual Plots
4.5
E. Residuals vs. Order Plot
4.6
F. Normal Probability Plot of Residuals
4.7
G. Assessing Linearity by Visual Inspection
4.8
H. Further Examples
Phân Tích Hồi Quy – Regression Analysis
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