David M. Lane


Specified in individual sections
  1. Introduction to Simple Linear Regression
  2. Linear Fit Demo
  3. Partitioning Sums of Squares
  4. Standard Error of the Estimate
  5. Inferential Statistics for b and r
  6. Influential Observations
  7. Regression Toward the Mean
  8. Introduction to Multiple Regression
  9. Statistical Literacy
  10. Exercises

PDF (A good way to print the chapter.)

Statisticians are often called upon to develop methods to predict one variable from other variables. For example, one might want to predict college grade point average from high school grade point average. Or, one might want to predict income from the number of years of education.

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