Question
The following is the output of an analysis looking at the Supercar dataset which contains measurements of top speeds for different brands of supercar. >
The following is the output of an analysis looking at the Supercar dataset which contains measurements of top speeds for different brands of supercar.
> fit <- aov(speed ~ car, data=Supercar)
> summary(fit)
Df Sum Sq Mean Sq F valuePr(>F)
car41456364.125.14 1.9e-08 ***
Residuals2536214.5
---
Signif. codes:0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
> TukeyHSD(fit)
Tukey multiple comparisons of means
95% family-wise confidence level
Fit: aov(formula = speed ~ car, data = Supercar)
$car
difflwruprp adj
Ferrari-Acura17.066666710.6142478 23.519086 0.0000004
Lotus-Acura0.6833333-5.76908557.135752 0.9978264
Porsche-Acura14.45000007.9975811 20.902419 0.0000064
Viper-Acura6.71666670.2642478 13.169086 0.0384079
Lotus-Ferrari-16.3833333 -22.8357522 -9.930914 0.0000008
Porsche-Ferrari-2.6166667-9.06908553.835752 0.7563408
Viper-Ferrari-10.3500000 -16.8024189 -3.897581 0.0006917
Porsche-Lotus13.76666677.3142478 20.219086 0.0000137
Viper-Lotus6.0333333-0.4190855 12.485752 0.0749333
Viper-Porsche-7.7333333 -14.1857522 -1.280914 0.0132379
Which of the following statements are true.
A) Supercars top-speeds differ
B) All the other brands are faster than Acuras
C) Ferraris and Porsches are faster than the other brands, but we can't tell which of the two is fastest.
Step by Step Solution
There are 3 Steps involved in it
Step: 1
Get Instant Access to Expert-Tailored Solutions
See step-by-step solutions with expert insights and AI powered tools for academic success
Step: 2
Step: 3
Ace Your Homework with AI
Get the answers you need in no time with our AI-driven, step-by-step assistance
Get Started