Strong Bad Email Statistics
From Homestar Runner Wiki
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(+2 images with captions. For now, the descriptions for the bar/pie graphs are left "open for interpretation" (as Homsar would say)) |
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*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. | *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. | ||
| - | [[Image:bar_graph_by_length.PNG|thumb|left|"The newer, the longer"]] | + | ==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]], or [[Tangerine Dreams|Other]] | ||
| + | [[Image:bar_graph_by_length.PNG|thumb|200px|left|"The newer, the longer"]] | ||
| - | [[Image:pie_graph_by_era.PNG|thumb|right|[[Compy 386]] | + | [[Image:pie_graph_by_era.PNG|thumb|200px|right|But [[Compy 386]] can win the stupid competition.]] |
Revision as of 21:46, 27 March 2005
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.
- A 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 effecting 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, or Other
