Day 1: Correlation
Revisited
hypothesis tests of correlation
Day 2: Linear
Regression Revisited
review of linear regression
Day 3: Inference
for Slope
inference for slope of least squares line
Day 4: Confidence
& Prediction Intervals
confidence and prediction intervals for regression
equations
Day 5: Explained
and Unexplained Variation
SSE, SSM, SST and error
Day 6: Reading
Computer Output
reading and interpreting computer output
Day 7: Fitting
Regression Equations
fitting other equations besides linear (a variety
of curves)
Day 8: Transformations:
Residuals
using residuals to choose the appropriate best fit
equation
Day 9: Transforming
Data into Linear Equations
transforming curved data into linear
Day 10: Unit 10 Review
Lecture notes for Unit 10