This preview shows page 1. Sign up to view the full content.
Unformatted text preview: 25. 2. Use your TI-83 to obtain the LSRL equation and correlation. 3. Formulate null and alternative hypotheses about the slope of the true regression line. 4. Report the sum of the 12 residuals and the sum of the squares of the residuals. What is the value of s (the standard error about the line)? 5. The model for regression inference has 3 parameters: , , and . Estimate these parameters from the data. 6. Computer output reports that the standard error of the slope is SE b = 3.511. Use this to construct a 95% confidence interval for the slope of the true regression line. Chapter 14...
View Full Document
This note was uploaded on 12/26/2009 for the course MATH 212 taught by Professor Mr.brown during the Spring '09 term at Louisiana College.
- Spring '09