1. SWBAT: Measure and interpret the linear association between two variables using correlation. Do Now: You have data for many years on the average price of a barrel of oil and the average retail price of a gallon of unleaded regular gasoline. If you want to see how well the price of oil predicts the price of gas, then you should make a scatterplot with ______ as the explanatory variable. (a) the price of oil (b) the price of gas (c) the year (d) either oil price or gas price (e) time

2. SWBAT: Measure and interpret the linear association between two variables using correlation. Correlation (r) measures the direction and strength of the linear relationship between two quantitative variables. -1< r < 1 r 0 - positive association Note: *Correlation makes no distinction between explanatory and response variables *Does not change when we change the units of measurement *Has no unit of measurement.

3. SWBAT: Measure and interpret the linear association between two variables using correlation. Example: Over the last few years, many people have gone on “low-carb” diets while others have tried “low-fat” diets. Here are data on 9 different types of hamburgers at McDonalds. What is the relationship between the amount of carbs and the amount of fat in McDonald’s hamburgers?