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Held: Monday, 5 May 2008
We consider how one computes regression lines that summarize
the expected relationship between explanatory and response variables.
- Some work returned today. More work to be returned on Wednesday. Grade summaries to be returned on Friday (after you fill out evaluation forms).
- There will be another exam-lette on Wednesday, on Topics 26-28. Your grade on Exam 3 is 2.5*(Sum of exam-lettes).
- Where we've been, where we're going.
I'm returning a lot of work today (and more on Wednesday).
Group work will be returned to one member of the group (usually
I will be happy to discuss any and all of your grades with you.
- I checked over your own grades for in-class ones and made a few updates.
- I graded the take-home ones and added notes.
- A few of you neglected to sign academic honesty statements and need
to talk to me.
For Lightning Presentations:
- Procrastination, although sometimes unavoidable, is rarely a good thing
- I punted a little bit: If I had no evidence to the contrary (e.g., my notes from class, the papers you turned in), I assumed you did things well.
- I then added the points (max 24), added 1, multiplied by 4, and rounded
to nearest letter grade.
- I read through the memo, marking some strengths and weaknesses.
- I filled out the rubric based on that read-through.
- All "agree" is a B+. (That is, doing everything right is significantly
better than adequate, but certainly not exceptional.)
- Two "strongly agrees" (with only agrees elsewhere) moved you up to
an A-. Three or more moved you up to an A.
- Two "disagrees" (with only agrees elsewhere) moved you down to a B.
- Three "disagrees" moved you down to a B-.
- "Strongly agrees" and "disagrees" cancel out.
- Default grade (comments on most sections for class peers): A-
- Many fewer comments: Lower grade
- Really good and lots of comments: A
- For the remainder of the semester, we are considering quantitative
- Topics 19 and 20: What one sample tells us about one population
- Topic 19: Confidence intervals
- Topic 20: Tests of significance (how likely a particular
hypothesized mean is)
- Topic 22: What two samples of the same variable from two populations
tell us about the relationship between those two populations.
- Topic 23: What samples of two similar variables from one population
(or samples of the same variables from two linked populations)
tell us about the expected relationship of those two variables.
- We are currently exploring what a sample can tell us about the
relationship between two different variables. (That is, we
use two different variables from each observational unit.)
- Topic 26 explored visual ways to explore those relationships.
- Topic 27 developed a numerical way to represent these relationships.
- We will conclude by thinking about ways in which knowing a bit about
relationships between two quantitative variables can help us make some
- That is, if we know that there is good correlation between two variables,
and we know the value of one of the two variables for an observational
unit, what can we say about the value of the other variable?
- Topic 28 considers another way to describe the relationships between variables, and how to use that description to make predictions.
- Topic 29 looks a bit more about the accuracy of those predictions.