Car Purchasing Data Analysis For this exam, you will be buil…

Written by Anonymous on June 16, 2021 in Uncategorized with no comments.

Questions

Cаr Purchаsing Dаta Analysis Fоr this exam, yоu will be building a mоdel to predict car purchase prices (Car.Purchase.Amount) that are sold in different countries of Mexico, Canada, and USA. The "Car_Purchasing_Data.csv" data set consists of the following variables: Country: country in which the car is sold (3-letter identifier) Gender: gender of the buyer (0=female, 1=male) Age: age of the buyer (years) Annual.Salary: annual salary earned of the buyer ($ USD) Credit.Card.Debt: amount of reported credit debt owed by buyer ($ USD) Net.Worth: amount of reported assets of buyer ($ USD) Car.Purchase.Amount: amount the car was purchased for by buyer ($ USD) Read the data and answer the questions below. Assume a significance threshold of 0.05 for hypothesis tests unless stated otherwise. # Read the data setbuyers = read.csv('Car_Purchasing_Data.csv', header=TRUE)#Set Gender & Country as a categorical variablebuyers$Gender

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