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  • Understanding the Least-Squares Regression Line

    This applet allows students to explore three methods for measuring "goodness of fit" of a linear model. Users can manipulate both the data and the regression line to see changes in the square error, the absolute error, and the shortest distance from the data point to the regression line.

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  • Regression Applet

    This applet was designed to illustrate the impact on simple linear regression output caused by adding a new data point. The applet simulates data and provides a graphical display of the data points and fitted regression line as well as the updated regression line after the addition of a data point.

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  • Quote: Fisher on Observation versus Experiment

    That's not an experiment you have there, that's an experience. Ronald A. Fisher (1890-1962.) Quoted in "Statistics", third edition, by David Freedman, Robert Pisani, and Roger Purves (Norton, 1998)

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  • Song: Heteroscedasticity

    Playful song has recurrent mention of the term heteroscedasticity.

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  • Deriving Regression Lines Without Calculus

    This article describes a method to calculate the least squares line algebraically. First, the author uses a numeric example, which uses calculus, then describes a simpler algebraic method.

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  • Dataset: The "Unusual Episode" Data Revisited

    This article describes a dataset containing information on economic class of passengers and mortality rates from the sinking of the Titanic. The dataset can be used to foster statistical thinking by giving students the data and asking them to determine the source.

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  • Dataset Example: A Dataset that is 44% Outliers

    This article describes a dataset of days in office of US Presidents with outliers that are not mistakes or unusually high or low observations. The data illustrate that outliers need not be errors but could be particularly interesting cases and that data displays may differ in their ability to reveal interesting data structure. Key Words: Inliers; Interpretation in context.

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  • Dataset Example: NFL Y2K PCA

    This article describes a dataset on the 2000 National Football League (NFL) regular season and the exploratory data analyses performed. Key Words: Multivariate analysis; Summary ranking measures

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  • Dataset: Career Records for All Modern Position Players Eligible for the Major League Baseball Hall

    The dataset described in this article contains data on retired Major League Baseball players, eligible for the MLB Hall of Fame. The data can be used to illustrate descriptive statistical methods (numerical, graphical, and tabular) or inferential statistics (hypothesis testing, confidence intervals, etc.). The data is in .dat format.

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  • Dataset Example: Move Over, Roger Maris: Breaking Baseball's Most Famous Record

    The dataset presented in this article referes to game-by-game information for Mark McGwire and Sammy Sosa during summer of 1998. This data can be used to demonstrate graphical displays, categorical data analysis, analysis of variance, logistic regression, and smoothing methods for Poisson and binomial data.

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