F 10/1/99

Read through p.135. HW due today: #3.25 (using lists you saved from #3.9), also #3.28 and #3.30.

M 10/4/99

Proposal and milestones for Group Project #1 are due at start of class. If you need some ideas, click here or here to see what types of data last year’s students collected. In class: two-variable regression, scatterplots, prediction. Data set: first test as a predictor for second test in a class of 18 students.

T 10/5/99

Read through p.150 before class. In class: more about linear least squares, residuals, regression outliers, and influential observations. Data set: height as a predictor for shoe size.

W 10/6/99

HW due today: #3.36, 3.37, 3.38; also read through p.165 before class

Th 10/7/99

Read through p.188 before class. During class, be sure to download the #3.46 data set unless you love doing manual data entry.

F 10/8/99

HW due today: #3.43, 3.46 (data set available in class Thursday via link), 3.48, 3.52, 3.55, 3.56, 3.59

M 10/11/99

No class

T 10/12/99

No class

W 10/13/99

No additional HW over the long weekend, but please get caught up on reading and HW. There may be a pop quiz or a HW check today to make sure you are up to date.

Th 10/14/99

HW due today: #4.1, 4.2. Note: For 4.2, the data given in your book are for the end of the U.S. Government fiscal year (i.e., as of 9/30 each year). Append data for 9/30/97, 9/30/98, and 9/30/99 to the data set given in your book. You can obtain these values at http://www.publicdebt.treas.gov/opd/opdpenny.htm on the World Wide Web. Of the two Web sites printed on p.190 of your textbook (in part j of the problem), one address is out of date and the other is a home page, not a data page.

F 10/15/99

No additional HW due today. In class, we will visit the population clock and will fit curves (using Microsoft Excel) to data from the U.S. Census Bureau. Your in-class assignment is as follows:
1. Display a residual plot for a linear regression fit to world population data for 1950-1999. Is the linear model a good fit?
2. Compute an exponential fit to the data for 1950-1999 using the "inverse method" we learned in class. Display the residual plot for this fit (note: be sure to compute residuals relative to population, not transformed population). What do you conclude?
3. Find a subset of years for which a linear (or exponential) fit is especially appropriate.
4. Use the last decade (1990-1999) to speculate upon a function that might be a good predictor of world population for the next few years. How far off is your prediction compared to the Census Bureau’s prediction for 2010?

M 10/18/99

Get caught up on all HW. Before class, read through p.197. In class: Continue working in computer lab on Friday’s activity.

T 10/19/99

HW due today: #4.5, 4.6, 4.9. In class: Detailed step-by-step solution of #4.6.

W 10/20/99

No additional HW due today. Please work on your group project and get caught up on reading.

Th 10/21/99

Before class, read through the end of Chapter 4

F 10/22/99

Meet in Room T and work on the computer activity we began on Friday, 10/15.

M 10/25/99

Review for test

T 10/26/99

Test on Chapters 3 and 4 (you should be familiar with everything on last year's Test #1, plus most of what was on last year's Test #2, plus one topic-"transformations to achieve linearity"-that was not specifically tested last year)

W 10/27/99

First part of class period: Room T (computer lab) to continue population regression exercise from 10/15. Then: SRS (simple random sample) discussion.

Th 10/28/99

HW due today: #5.5; also read through p.261 before class.