Strong Bad Email Statistics
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Revision as of 16:47, 16 July 2005 by 68.113.212.144 (Talk)
Various statistics of interest involving Strong Bad Email data.
Strong Bad Email By Length
This section involves data taken from the list Strong Bad Email By Length.
- The scatter plot shows a fairly strong positive correlation between Email Number and Email Length. The r value between these two variables without deleting outliers is .844.
- An r value of 1 would indicate a perfect, positive correlation. A value of -1 indicates a perfect, negative correlation. Therefore, .844 indicates a fairly strong, positive correlation.
- This plot shows there are a handful of clear outliers which are likely affecting the correlation. In the plot below, the outliers have been removed. A Least Squares Regression Line (LSRL) has also been added.
- The outliers were defined as those emails with a residual value of 40 or greater, or -40 or less.
- The LSRL can be used to extrapolate, or guess the length of future emails. The r value of this line is .946.
- The equation for the LSRL is y = 1.3848x + 44.831. y = Time (seconds); x = Email number
- This method of guessing is not 100% accurate, since it is unlikely the e-mails will ever be, say, 20 minutes long. This equation should not be considered a foolproof method for guessing the length of an e-mail.
Strong Bad Email By Era
This section involves data on the computer used to answer each e-mail, or the "era" of the computer. The categories are Tandy 400, Broken Tandy, Compy 386, Lappy 486, and Other. (So far, other is Pom Pilot and Tangerine Dreams)
Strong Bad Emails Featuring More Than One Email
Several Strong Bad Emails feature more than one email.
- bottom 10- 2 emails
- spring cleaning- 5 emails
- 50 emails- 4 emails
- huttah!- 7 emails
- 2 emails- 2 emails
- cheatday- 4 emails
- credit card- 2 emails
- E-mail Birds- 3 emails
