1. Inference in Simple Linear Regression
KNNL – Chapter 2

2. Least Squares Estimate of b1

3. Sampling Distribution of b1 – Normal Error Model

4. Sampling Distribution of (b1-b1)/s{b1}

5. (1-a)100% Confidence Interval for b1

6. Test of Hypothesis for b1

7. Inference Concerning b0

8. Interval Estimation of E{Yh} = b0+b1Xh

9. Prediction Interval forYh(new) when X=Xh

10. Confidence Band for Regression Line

11. Analysis of Variance Approach to Regression

15. ANOVA Partitioning - I

16. ANOVA Partitioning

17. Analysis of Variance Table

18. F-Test for H0:b1=0 vs HA:b1≠0

19. Comments on F-Test

20. General Linear Test – Very Flexible Method

21. Example 1 – H0: b1 = 0

22. Descriptive Measures of Linear Association

23. Correlation Models – Y1,Y2 Bivariate Normal

24. Inferences on Correlation Coefficients

25. Confidence Interval for r12

26. Spearman Rank Correlation Coefficient