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A set of data was compiled, which lists the top grossing movies of all time (as of June 2003). It contains information showing the name of the movie, the amount of money it made both in the U.S. and foreign markets, its year of release, and the type of movie.

Use Spearman’s correlation to assess the relationship between the amount of money made in the U.S. by movies and their years of release.

Lee Creighton
SAS Institute Inc.

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The Movies data set contains a list of the top grossing movies of all time (as of June 2003). The names of the 277 movies in the list are provided, along with the type and rating of each movie, year of release, money grossed in both U.S. and foreign markets, and the name of the movie director.

These are the variables in the data set:

Sall, J., Creighton, L., & Lehman, A. (2006). JMP Start Statistics, Third Edition. Cary, NC: SAS Institute Inc.

Using SAS Enterprise Guide, the value of the Spearman correlation coefficient was found to be 0.13396. So, the sample data suggests that there is a weak, positive, linear relationship between the amount of money made in the U.S. market by movies and their years of release.

A mail-order company has decided that customers who spend 100 dollars or more on purchases should be the focus of its advertising efforts. To help identify this target group, the company collected information from its customers including purchase level (1 = at least $100, 0 = less than $100 dollars), gender, income level, and age.

SAS Institute Inc.

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The Sales data set contains data about customers of a mail-order company.

These are the variables in the data set:

This data is sample data from SAS Institute Inc.

The correlation value of 0.03070 indicates a very weak association between purchase level and age.