Introduction to Statistics (MAT/SST 115.03 2008S)
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Back to Topic 28: Least Squares Regression. On to Wrapup.
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.
Notes:
Overview:
lm
.
lm
through summary
.
> 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 2.45e08 ***  Signif. codes: 0 "***" 0.001 "**" 0.01 "*" 0.05 "." 0.1 " " 1 Residual standard error: 29.76 on 28 degrees of freedom Multiple RSquared: 0.6766, Adjusted Rsquared: 0.665 Fstatistic: 58.57 on 1 and 28 DF, pvalue: 2.452e08
Back to Topic 28: Least Squares Regression. On to Wrapup.
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