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In this lesson, students are introduced to the terms positive association and negative association. They use fitted lines to help them understand this language and tie it back to their work in an earlier unit on linear relationships. They start to use language to describe trends like, "Cars made in a later year tend to have a higher price." They evaluate the goodness of fit of lines for a given scatter plot (note that this is done informally and in later courses, students will revisit more quantitative measures of fitness) and begin to draw their own lines to fit data in a scatter plot (MP5).
Let’s look for associations between variables.
Each student needs one strand of pasta. Have extra available in case the strands break.