Chapter 3: Association: Contingency, Correlation, and Regression.  We will look at what statisitcs and what graphs are used to show relationships between two variables.  We see how this differs when the two variables are categorical, when one is categorical and one quantitative, and when both are quantitative.

With two categorical variables we will focuse on two-way (or contingency) tables. We will look at marginal distributions, conditional distributions, and Simpson's Paradox.  With two quantitative variables we will learn what correlation is and what that number tells us about a scatterplot.  We will look at a number of properties of correlation.  We will also look at least-squares regression.  We will look at what regression is, how a regression equation can be determined using a calculator, and how it can be used.  We will also look at residuals, r-squared, and what regression can and cannot tell us.

Assignment:

• Read chapter 3
• Do exercises 1, 3, 5, 9, 11, 16, 17, 22, 25, 29, 32, 33, 36, 41, 45, 49, and 53 in Chapter 3.