Years of experience and number of tickets given by patrolpersons in New York City

Data for Example 9.3

Patrol

Format

A data frame/tibble with ten observations on three variables

tickets

number of tickets written per week

years

patrolperson's experience (in years)

log_tickets

natural log of tickets

References

Kitchens, L. J. (2003) Basic Statistics and Data Analysis. Pacific Grove, CA: Brooks/Cole, a division of Thomson Learning.

Examples

model <- lm(tickets ~ years, data = Patrol)
summary(model)
#> 
#> Call:
#> lm(formula = tickets ~ years, data = Patrol)
#> 
#> Residuals:
#>     Min      1Q  Median      3Q     Max 
#> -15.412  -5.598  -1.217   3.291  21.995 
#> 
#> Coefficients:
#>             Estimate Std. Error t value Pr(>|t|)    
#> (Intercept)   55.938      6.215   9.001 1.85e-05 ***
#> years         -2.932      0.615  -4.768  0.00141 ** 
#> ---
#> Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
#> 
#> Residual standard error: 11.21 on 8 degrees of freedom
#> Multiple R-squared:  0.7397,	Adjusted R-squared:  0.7071 
#> F-statistic: 22.73 on 1 and 8 DF,  p-value: 0.001413
#> 
confint(model, level = 0.98)
#>                   1 %      99 %
#> (Intercept) 37.937415 73.937924
#> years       -4.713667 -1.150832