Lesson 7 focuses on data sets that cannot be modeled accurately, and students are asked to articulate why. Students use skills learned in Lesson 14 of Module 2 (where they used calculators to write linear regressions) and apply similar techniques for data sets that are better suited to modeling with quadratic or exponential regressions.
Students use that same technique to find linear regressions and use their graphing calculators to examine the correlation coefficient and to find quadratic and exponential regressions. They compare correlation coefficients to determine which model is best for the data. Ultimately, students choose the regression model (linear, quadratic, or exponential) most appropriate to a given data set and then write, verify, and interpret these models in context. Students need a graphing calculator to complete this lesson.
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