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Lesson Plan

Fit a linear regression line to a set of data by using spreadsheets and graphing technology

teaches Common Core State Standards CCSS.Math.Practice.MP1 http://corestandards.org/Math/Practice/MP1
teaches Common Core State Standards CCSS.Math.Practice.MP4 http://corestandards.org/Math/Practice/MP4
teaches Common Core State Standards CCSS.Math.Practice.MP5 http://corestandards.org/Math/Practice/MP5
teaches Common Core State Standards CCSS.Math.Content.HSS-ID.B.6a http://corestandards.org/Math/Content/HSS/ID/B/6/a
teaches Common Core State Standards CCSS.Math.Content.HSS-ID.B.6c http://corestandards.org/Math/Content/HSS/ID/B/6/c
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Big Ideas: Data can be represented using tables, charts, and graphs, and the type of display is determined by the type of data. There are numerical measures that describe the direction and strength of a relationship between two quantitative variables. This lesson builds on students work in 8th grade. In 8th grade, students informally fit a linear line to a set of data known to have linear association. In this lesson, students formally fit a regression line to a set of data known to be linearly associated. This builds on the idea that data can be given in the form of a table, made into a graph, and then fitted to a regression line. Vocabulary: Bivariate, Scatter plot, Positive association, Negative association, Linear Association, Regression Line
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