The thrill of riding a roller coaster isaddictive, both for its users who take theride, and for the designers and engineers to make them bigger and faster. On theinternet, there are many data sets available that rank popular roller coasters according to their maximumspeed, theg-force experienced, or theheight, to allow you maximizing your thrill. In this casestudy, we will investigate one of these datasets, counting 408 rollercoasters, half of them in NorthAmerica, and the others in Latin America and Europe. Important variables in the data set that affect the thrill are Height(in meters), Speed(in miles perhours, mph), Length(in meters), and Duration(in seconds). But connoisseurs will also be interested in knowing if the coaster is of steel or wood(Type or alsoConstruction), if there are any Inversions(Yes/No) and ifso, how many(Numinversions), the maximumg-force (GForce) or when it was constructed(Opened). As with all real datasets, the data areincomplete: for quite a lot ofcoasters, we are missing values for one or several of the variables. We will perform all our analyses on the largest possible dataset, excluding only those records that contain missing values for the specific analysis.

StatCrunch Data Set

(a)What variables in our data set are of quantitativetype? Select all that apply.

(b)What variables in our data set are of categoricaltype? Select all that apply.

A.

GForce

B.

Duration

C.

Opened

D.

Numinversions

E.

Speed

F.

Inversions

G.

Length

H.

Height

I.

Type

J.

Country.

(c)What are the measurement units of the variableType?Select all that apply below

A.

Material

B.

Steel

C.

Wood

D.

As a categoricalvariable, Type has no units.