Data for Exercise 9.11 and 9.17
PovertyFormat
A data frame/tibble with 20 observations on four variables
- city
a factor with levels
Atlanta,Buffalo,Cincinnati,Cleveland,Dayton, O,Detroit,Flint, Mich,Fresno, C,Gary, Ind,Hartford, C,Laredo,Macon, Ga,Miami,Milwaukee,New Orleans,Newark, NJ,Rochester,NY,Shreveport,St. Louis, andWaco, Tx- poverty
percent of children living in poverty
- crime
crime rate (per 1000 people)
- population
population of city
Source
Children's Defense Fund and the Bureau of Justice Statistics.
References
Kitchens, L. J. (2003) Basic Statistics and Data Analysis. Pacific Grove, CA: Brooks/Cole, a division of Thomson Learning.
Examples
plot(poverty ~ crime, data = Poverty)
model <- lm(poverty ~ crime, data = Poverty)
abline(model, col = "red")
summary(model)
#>
#> Call:
#> lm(formula = poverty ~ crime, data = Poverty)
#>
#> Residuals:
#> Min 1Q Median 3Q Max
#> -4.9540 -3.1121 -0.5467 2.5390 6.5606
#>
#> Coefficients:
#> Estimate Std. Error t value Pr(>|t|)
#> (Intercept) 39.116 1.858 21.052 3.97e-14 ***
#> crime 0.181 0.171 1.058 0.304
#> ---
#> Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
#>
#> Residual standard error: 3.667 on 18 degrees of freedom
#> Multiple R-squared: 0.05857, Adjusted R-squared: 0.006268
#> F-statistic: 1.12 on 1 and 18 DF, p-value: 0.3039
#>
rm(model)