• Relationships between two varialbles
  • correlation as a measure of the strength of linear relationships between two variables.

  
  Ref: Randy Flanagan, Queens University

  • Least Squares Regression Line
    • y-hat = a + bx
    • b = r(s_y/s_x)
    • a = y-bar - b(x-bar)
• The square of the correlation coefficient = r²

Read to p. 112 (Regression) and pp 119 - 124 (Cautions)

Exercises:

1. p 102; 4.32, 4.33
2. p 109; 5.1, 5.2
3. p 112; 5.4
4. p 118; 5.8
5. p 120; 5.10
6. p 123; 5.14

NOTE: Midterm: Friday, 24 October

E-mail: rdegray@sjc.edu

Correlation and Regression applet;
David S. Moore, The Basic Practice of Statistics, Third Edition

Text: The Basic Practice of Statistics, David S. Moore; Third Edition, Freeman, 2003