R Dataset / Package DAAG / carprice
Attachment  Size 

dataset70618.csv  2.03 KB 
Documentation 

On this Picostat.com statistics page, you will find information about the carprice data set which pertains to US Car Price Data. The carprice data set is found in the DAAG R package. You can load the carprice data set in R by issuing the following command at the console data("carprice"). This will load the data into a variable called carprice. If R says the carprice data set is not found, you can try installing the package by issuing this command install.packages("DAAG") and then attempt to reload the data. If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the carprice R data set. The size of this file is about 2,076 bytes. US Car Price DataDescriptionU.S. data extracted from Usagecarprice FormatThis data frame contains the following columns:
SourceMASS package ReferencesVenables, W.N.\ and Ripley, B.D., 4th edn 2002. Modern Applied Statistics with S. Springer, New York. See also ‘R’ Complements to Modern Applied Statistics with SPlus, available from http://www.stats.ox.ac.uk/pub/MASS3/ Examplesprint("Multicollinearity  Example 6.8") pairs(carprice[,c(1,8,9)])carprice1.lm < lm(gpm100 ~ Type+Min.Price+Price+Max.Price+Range.Price, data=carprice) round(summary(carprice1.lm)$coef,3) pause()alias(carprice1.lm) pause()carprice2.lm < lm(gpm100 ~ Type+Min.Price+Price+Max.Price+RoughRange, data=carprice) round(summary(carprice2.lm)$coef, 2) pause()carprice.lm < lm(gpm100 ~ Type + Price, data = carprice) round(summary(carprice.lm)$coef,4) pause()summary(carprice1.lm)$sigma # residual standard error when fitting all 3 price variables pause()summary(carprice.lm)$sigma # residual standard error when only price is used pause()vif(lm(gpm100 ~ Price, data=carprice)) # Baseline Price pause()vif(carprice1.lm) # includes Min.Price, Price & Max.Price pause()vif(carprice2.lm) # includes Min.Price, Price, Max.Price & RoughRange pause()vif(carprice.lm) # Price alone  Dataset imported from https://www.rproject.org. 
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R Output  Date 

Picostat Output  Bivariate Plot  Apr 30, 2020 
Picostat Output  Bivariate Plot  Apr 30, 2020 
Picostat Output  How to Create a Plot  Apr 30, 2020 
Picostat Output  How to Create a Plot  Apr 30, 2020 
Picostat Output  Bivariate Plot  Apr 30, 2020 
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