Analyses on the largest possible data? set

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The thrill of riding a roller coaster is? addictive, both for its users who take the? ride, and for the designers and engineers to make them bigger and faster. On the? internet, there are many data sets available that rank popular roller coasters according to their maximum? speed, the? g-force experienced, or the? height, to allow you maximizing your thrill. In this case? study, we will investigate one of these data? sets, counting 408 roller? coasters, half of them in North? America, 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 per? hours, 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 also? Construction), if there are any Inversions? (Yes/No) and if? so, how many? (Numinversions), the maximum? g-force (GForce) or when it was constructed? (Opened). As with all real data? sets, the data are? incomplete: for quite a lot of? coasters, we are missing values for one or several of the variables. We will perform all our analyses on the largest possible data? set, excluding only those records that contain missing values for the specific analysis.

Reference no: EM132847196

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