This outline is also available in PDF.
Held: Wednesday, 7 May 2008
Summary: We conclude our exploration of statistics by examining what regression lines between two variables from a sample of a population tell us about the relationships between the variables within the populations from which the sample was drawn.
> TBP = read.csv("/home/rebelsky/Stats115/Data/TextbookPrices.csv") > summary(lm(TBP$Price ~ TBP$Pages)) Call: lm(formula = TBP$Price ~ TBP$Pages) Residuals: Min 1Q Median 3Q Max -65.4748 -12.3241 -0.5838 15.3037 72.9909 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -3.42231 10.46374 -0.327 0.746 TBP$Pages 0.14733 0.01925 7.653 2.45e-08 *** --- Signif. codes: 0 "***" 0.001 "**" 0.01 "*" 0.05 "." 0.1 " " 1 Residual standard error: 29.76 on 28 degrees of freedom Multiple R-Squared: 0.6766, Adjusted R-squared: 0.665 F-statistic: 58.57 on 1 and 28 DF, p-value: 2.452e-08
I usually create these pages
on the fly, which means that I rarely
proofread them and they may contain bad grammar and incorrect details.
It also means that I tend to update them regularly (see the history for
more details). Feel free to contact me with any suggestions for changes.
This document was generated by
Siteweaver on Wed May 7 12:55:23 2008.
The source to the document was last modified on Mon Apr 28 11:19:47 2008.
This document may be found at
You may wish to validate this document's HTML ; ;Samuel A. Rebelsky, email@example.com
http://creativecommons.org/licenses/by-nc/2.5/or send a letter to Creative Commons, 543 Howard Street, 5th Floor, San Francisco, California, 94105, USA.