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Learning to use R statistical software for data mining — An extension of linear regression to multiple variables: In Understanding data mining: Extracting, organizing, and analyzing large sets of data, page 3; In this lesson, students will use the free R statistical software to navigate through the basics of data mining, a process in which the effects of individual variables can be determined. Students will utilize multiple methods of variable selection — forward selection, backward selection, and stepwise selection — in an attempt to determine which variables are most influential in a given situation.; Format: lesson plan (grade 9–12 Mathematics); By Dail Midgette.

Learning to use R statistical software for data mining — Putting it all together: In Understanding data mining: Extracting, organizing, and analyzing large sets of data, page 4; Students will mine data to identify the variables that most significantly impact the...; Format: lesson plan (grade 9–12 Mathematics); By Dail Midgette.

Learning to use R statistical software for linear regression — An alternative to the graphing calculator: In Understanding data mining: Extracting, organizing, and analyzing large sets of data, page 2; Students often learn how to do linear regression activities using a graphing calculator. This lesson provides an opportunity to complete these same types of assignments using R statistical software. Students will use this free software to create scatter plots and to develop linear regression models that can be used to make predictions.; Format: lesson plan (grade 9–12 Mathematics); By Dail Midgette.

Space Shuttle O-ring failure: Students will use a TI82 or TI83 calculator to construct a scatterplot, find the equation of the least-squares regression line for a set of data, find the coefficient of determination, and make predictions by using the line.; Format: lesson plan (grade 9–12 Mathematics); By Brenda Goforth.

Understanding data mining: Extracting, organizing, and analyzing large sets of data: Mathematics students in grades nine through twelve will be able to extract useful information from large sets of data that represent multiple disciplines. Using these real-world applications, students will analyze data and use their findings to make predictions and to provide solutions to problems.; Format: lesson plan (multiple pages)

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