Materials needed: journal, pencil, calculator and homework.

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Presentation transcript:

Materials needed: journal, pencil, calculator and homework

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

 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?

 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

 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?

 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?

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

 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!

 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

 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).

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