• Dirt_bikes_2014Download .TXT file Open in Data Desk ?Link
  • Methods: Indicator Variables, Multiple Regression, Outliers, Partial Regression Plots, Re-expression, Regression, Residuals
  • Source: Jiang Lu, Joseph B. Kadane, and Peter Boatwright,The Dirt on Bikes: An Illustration of CART Models for Brand Differentiation
  • Number of Cases: 114
  • Story:

    Motorcycles designed to run off-road, often known as dirt bikes, are specialized
    vehicles. The dataset holds data on 114 many attributes of dirt bikes.
    Some cost as little as
    $1399, while others are substantially more expensive. One interest is in building a model to predict the price of a dirt bike from attributes of the bikes.


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