Document name
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Characteristics
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Description
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Anscombe
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Activity from Statistics with 11 cases, 6 attributes. Useful for Activity, Demonstration
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Famous dataset. Four bivariate relationships with the same number of points, the same linear regression line, and the same correlation coefficient
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Computing Residuals
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Demonstration from Statistics with 16 cases, 5 attributes. Useful for Activity, Demonstration
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Shows how to use build-in functions to get predicted and residual values as attributes.
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CorrelationInference
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Simulation from Statistics with 20 cases, 5 attributes. Useful for Activity, Demonstration
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Shows the distribution of correlation coefficients obtained when two attributes are independent.
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CorrelationPlay
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Play from Statistics with 7 cases, 2 attributes. Useful for Activity
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Points on a scatter plot to drag around and observe the effect on the LSR line and r-squared.
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CorrSlider
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Simulation from Statistics with 20 cases, 4 attributes. Useful for Demonstration
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A slider determines the correlation of data points.
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Couples_FULL
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Data from Sociology with 199 cases, 8 attributes. Useful for Activity, Project
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Married couples with ages at time of marriage, heights, year of marriage, and duration.
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Couples
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Data from Sociology with 30 cases, 5 attributes. Useful for Activity
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Married couples with ages, heights, and husband’s age at marriage.
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Quadratic Regression
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Demonstration from Statistics with 5 cases, 3 attributes. Useful for Demonstration
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Shows techniques for finding a best fit parabola.
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RegressionSimulation
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Demonstration from Statistics with 200 cases, 2 attributes. Useful for Activity, Demonstration
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5 sliders parameterize a population a predictor and a response. A sample from this population responds to changes in the parameters.
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RegressionTransformation
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Demonstration from Statistics with 100 cases, 8 attributes. Useful for Demonstration
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A slider control a 4 stage transformation in which (X, Y) is standardized to (Exp, Res)
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Two Groups Regression
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Demonstration from Statistics with 100 cases, 3 attributes. Useful for Demonstration
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Shows the relationship between Predictor and Response for two groups.
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