# Multivariate Quantitative Relationships

• ### Song: Correlation Coefficient

A song that may be used in discussing the correlation coefficient and the interpretation of positive versus negative values and their magnitude. The lyrics were written by Mary McLellan from Aledo High School in Aledo, Texas as one of several dozen songs created for her AP statistics course. The song may be sung to the tune of Carl Perkin’s 1955 rock and roll song Blue Suede Shoes. Also, an accompanying video may be found at

• ### Song: Coefficient of Determination

A song that may be used in discussing the meaning and interpretation of R^2; the coefficient of determination.  The lyrics were written by Mary McLellan from Aledo High School in Aledo, Texas as one of several dozen songs created for her AP statistics course. The song may be sung to the tune of the Christmas song Frosty the Snowman written by Walter Rollins and Steve Nelson and popularized by Gene Autry’s 1950 recording. Also, an accompanying video may be found at https://www.youtube.com/watch?v=0gdxJ0HhELg

• ### Song: Slip Slidin' to the Mean

A song to be used in discussing the Regression Effect and the Regression Fallacy.  The lyrics were written by Lawrence M. Lesser from The University of Texas at El Paso and may be sung to the tune of the 1977 song "Slip Slidin' Away" by Paul Simon. The song first appeared in the August 2017 Amstat News.

• ### Song: Linear Model Rap

A song to be used in discussions about the meaning of the correlation coefficient (r) and r^2. The lyrics were written by Mary McLellan from Aledo High School in Aledo Texas and are a parody of the 1989 hip hop song "Ice Ice Baby" by Vanilla Ice. The song won an honorable mention in the 2017 A-mu-sing contest.
• ### Data Collection: Miscellaneous Datasets

This collection of data can be used for many useful statistical analyses. Data and description are in a separate file and useful for SAS data analysis too. Data are categorized by analysis type, hence easy to pic relevant data sets accordingly. The data can be used for many analysis such as, Categorical data analysis, Polynomial Linear, Nonlinear, Logistic, Poisson, Negative Binomial Regression analysis, Response Surface Regression, Binary Response Regression, Time Series Data,1-Way ANOVA/ Independent Samples t-test, Multi-Factor ANOVA, and many other data analysis.
• ### Data Collection: The eeps Data Zoo

Many data sets useful for modeling bivariate relationships. The data sets are formatted for use in Fathom, but text versions are also available.
• ### Joke: Out of Line

A joke that might be used in a discussion of the problem of using a simple linear regression to extrapolate beyond the range of the data (where it is unlikely that the linear relationship would continue to hold). The joke was written by Dennis Pearl from Penn State University.
• ### Cartoon: Variable Wheel I

A cartoon to be used for discussing the selection of the best explanatory variable in a regression model. The cartoon was used in the March 2017 CAUSE Cartoon Caption Contest. The winning caption was submitted by Michele Balik-Meisner, a student at North Carolina State University. The drawing was created by British cartoonist John Landers based on an idea from Dennis Pearl of Penn State University. A second winning entry, by Michael Posner of Villanova University, may be found at www.causeweb.org/cause/resources/fun/cartoons/variable-wheel-ii Three honorable mentions that rose to the top of the judging in the March competition included "No no no! You randomize AFTER you select your research topic!" by Mickey Dunlap from University of Georgia; "This isn't what I meant by random variable!" by Larry Lesser from The University of Texas at El Paso; and "We find this method of finding 'significant' predictors to be quicker than using stepwise regression and it is even slightly more reproducible." by Greg Snow from Brigham Young University.

• ### Cartoon: Variable Wheel II

A cartoon to be used for discussing the selection of the best explanatory variable in a regression model. The cartoon was used in the March 2017 CAUSE Cartoon Caption Contest. The winning caption was submitted by Michael Posner, from Villanova University. The drawing was created by British cartoonist John Landers based on an idea from Dennis Pearl of Penn State University. A second winning entry, by Michele Balik-Meisner, a student at North Carolina State University, may be found at www.causeweb.org/cause/resources/fun/cartoons/variable-wheel-i Three honorable mentions that rose to the top of the judging in the March competition included "No no no! You randomize AFTER you select your research topic!" by Mickey Dunlap from University of Georgia; "This isn't what I meant by random variable!" by Larry Lesser from The University of Texas at El Paso; and "We find this method of finding 'significant' predictors to be quicker than using stepwise regression and it is even slightly more reproducible." by Greg Snow from Brigham Young University.

• ### Joke: One Friend or Two

A joke to help in recalling the purpose of Correlation and Regression. The joke was written in 2017 by Dennis Pearl from Penn State University.