1. Materials needed: journal, pencil, calculator and homework

2. 1. Identify the independent and dependent variable. 2. Identify the rate of change (remember your units).

3.  Objective: SWBAT calculate, using technology, the correlation coefficient and interpret this quantity as a measure of the strength of the linear association.  Essential Question: How does the correlation coefficient tell me what kind of relationship it is?

4.  Scatter Plot: a graph used to identify a potential trend  Linear Regression: method on graph calc. used to find the line of best fit to represent the data

5.  Association: the correlation/relationship between two variables  Example: # of mailboxes in a city increases and # of firefighters in city increases  Do you think that one causes the other? ◦ Why do you think this positive trend occurs?

6.  Causation: change in one quantity causes a change in another  Example: # of shirts ordered and the total cost  How does the number of shirts ordered affect the cost?

7.  Residual: difference between y-value on scatter plot and predicted y-value (on the line of best fit)

9.  You and your desk partner will work on your assigned problem.  The correlation coefficient and equation have already been given to you. Answer the questions based on the given data.  Don’t forget to draw the scatter plot!

11.  In your foldable, label the axes for each type of correlation.  Remember, x-axis is independent variable and y-axis is dependent variable.  Example: # of times teeth flossed per week # of cavities

12.  Go back through today’s notes and highlight vocabulary.  Create questions on the side that our notes answer.  Summarize at the end of notes (3-4 complete sentences).

13.  With a partner or on your own, work on the assigned homework. Look back at your notes!