Class 3. Measuring fit and assessing predictive value of a model.

Table of contents for Class 3

	91-94 .......... Discursive introduction.
	95-96 .......... Prediction example (Housing construction).
	97-98 .......... Standard error of the slope & R-squared discussion.
	99-102 ......... Effect of a leveraged point on predictions.
	103   .......... Outlying values can lead to a misleading R-squared.
	104-105 ........ Confidence Intervals for an estimated slope
                             (Display space).
 	107-108 ........ Exploiting the confidence interval for a slope.
        109-111 ........ Extrapolating/predicting outside the range of 
                             the data (BE CAREFUL).