"A winner says, 'It may be difficult, but it's possible.' A loser says, 'It may be possible, but it's too difficult.' " -- (Dr. Robert Anthony, Betting on Yourself ) HYPATIA (370 - 415): First "known" female mathematician. Like her father, Theon of Alexandria, Hypatia was a Pythagorean, a Platonist, and a pagan. She was an outstanding mathematician and teacher during a time when women were not supposed to exercise such qualities. She was brutally murdered by Christian zealots. Do some research and learn about why Hypatia finds a place in the history of mathematics. What does Herkimer call an arrogant household bug? Answer: A cocky roach. Herky 's friends: DORA JAR ... she likes to have entrances and exits open all the time. STAN DING ...you can never get this guy to sit down. Reading: Review previous readings, as necessary. Exercises: 3.28, 3.30, 3.31, 3.33, 3.34, 3.45 (page 161)

You are working with problems relating to Sections3.1, 3.2, and 3.3.

Be able to interpret the slope of the least-squareregression line. Example 3.10 on pages 141-142, you find aleast-squares regression line y(hat) = 1.0892 + .1890x. Aninterpretation of the slope (.1890) is provided. Sometimes thealgebraic identity x = 1/(1/x) can be useful in rewriting the slope.For instance, .1890 = 1/(1/1.1890) = 1/5.29. The LSRL can then bewritten

y(hat) =1.0892 + (1/5.29)x.

This allows for this interpretation of the slope:On the average, a one unit increase in the y-variable results in a5.29 increase in the x-variable. In some situations, this rewritingof the slope may make it easier to interpret. For instance, if aslope of a LSRL is equal to -.0045, this can be written as -1/222(approximately), meaning that, on the average, a 1 unit increase inthe y variable results in a decrease of 222 units in thex-variable.

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Text:
The Practice of Statistics, by Yates, Moore, McCabe. New York,W.H. Freeman and Company, 1999. (ISBN 0-7167-3370-6)

Supplemental books:
The Cartoon Guide to Statistics, by Gonick and Smith. NewYork, HarperCollins Publishers, 1993. (ISBN 0-06-273102-5)
How to Lie with Statistics, by Darrell Huff. New York, W.W.Norton & Company, 1982 (ISBN 0-393-09426-X)