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Statistics: Describing Bivariate Data Classroom ActivitiesDownload
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Does a Correlation Exist?

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In this activity, students will determine, by examining a graph, if a data set has a positive or negative correlation coefficient. Then, they will find the linear regression equation and calculate the correlation coefficient. They will use this line to predict the value of y for a given x and vice-versa. Finally, students will investigate the effect of outliers and influential points on the regression equation and correlation coefficient.
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    TI-Nspire™ CX
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    TI-Nspire™ CX CAS
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Influence and Outliers

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In this activity, students will identify outliers that are influential with respect to the least-squares regression line. Students will describe the role of the location of a point relative to the other data in determining whether that point has influence on the least-squares regression line.
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    TI-Nspire™ CX
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    TI-Nspire™ CX CAS
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Influencing Regression

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This lesson involves a least-squares regression line fit to a set of nine values.
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    TI-Nspire™ CX
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    TI-Nspire™ CX CAS
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StatisticsInterpretingR2

Interpreting R<sup>2</sup>

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This lesson involves predicting values of a particular variable.
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    TI-Nspire™ CX
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    TI-Nspire™ CX CAS
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Investigating Correlation

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This lesson involves investigating the connection between the scatterplot of bivariate data and the numerical value of the correlation coefficient.
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    TI-Nspire™ CX
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    TI-Nspire™ CX CAS
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Statistics_MonopolyAndRegression

Monopoly and Regression

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This lesson involves analyzing the association between the number of spaces from Go and the cost of the property on a standard Monopoly board.
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    TI-Nspire™ CX
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    TI-Nspire™ CX CAS
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Scatterplot Pulse Rates

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This lesson involves creating a scatterplot and fitting a line to student pulse rates collected before and after exercise.
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    TI-Nspire™ CX
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    TI-Nspire™ CX CAS
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Square it Up!

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Students investigate the method of least squares by adding the squares to a scatter plot and moving a line to find the minimum sum. Then they compare their line to the built-in linear regression model.
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    TI-Nspire™ CX
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    TI-Nspire™ CX CAS
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Statistics_TootsiepopsAndHandspan

Tootsie Pops & Hand Span

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Students will collect data, find the linear regression model of the data, and address aspects of the data that affect regression.
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    TI-Nspire™ CX
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    TI-Nspire™ CX CAS
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Statistics_TransformingBivariateData

Transforming Bivariate Data

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This lesson involves square root, semi-log, and log-log transformations of curved bivariate data using given data sets.
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    TI-Nspire™ CX
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    TI-Nspire™ CX CAS
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