Air pollution measurements at three locations.
Format
A data frame with 6 observations on the following 2 variables.
- pollution
a numeric vector
- location
a factor with levels
Hill Suburb,Plains Suburb,Urban City
Source
David J. Saville and Graham R. Wood, Statistical methods: A geometric primer, Springer, 1996.
Examples
data(AirPollution)
#> Warning: data set ‘AirPollution’ not found
summary(lm(pollution ~ location, data = AirPollution))
#>
#> Call:
#> lm(formula = pollution ~ location, data = AirPollution)
#>
#> Residuals:
#> 1 2 3 4 5 6
#> 7 -7 -4 4 -6 6
#>
#> Coefficients:
#> Estimate Std. Error t value Pr(>|t|)
#> (Intercept) 117.000 5.802 20.164 0.000267 ***
#> locationPlains Suburb -6.000 8.206 -0.731 0.517592
#> locationUrban City 15.000 8.206 1.828 0.164998
#> ---
#> Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
#>
#> Residual standard error: 8.206 on 3 degrees of freedom
#> Multiple R-squared: 0.6985, Adjusted R-squared: 0.4975
#> F-statistic: 3.475 on 2 and 3 DF, p-value: 0.1655
#>