The following data set shows a random selection of delivery drivers from a Chinese delivery restaurant. Driver ID Age, years Gender Car Average Time Average Distance, miles 543 19 Male Truck 10 min 36 sec 8.2 228 29 Male Van 9 min 7.1 711 22 Female SUV 11 min 24 sec 7.4 252 17 Female Sports car 6 min 17 sec 6.8 Which of the following variables are categorical?

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Answer:

Gender, car

Step-by-step explanation:

Give the data above :

The categorical variables are : Gender and Car

The Gender are car variables represents non numeric variables written as strings and as such does not allow for numeric calculations such as addition, subtraction and so on, they are instead used to classify the observations in the data into discreet groups, the gender variable separates observations into Male and Female classes while, the car variable separates cars driven into distinct classes denoting the name of cars driven by each observation in the data. The other variables are of quantitative nature as they allow for numerical computation of the data values.

Answer:

A) Driver Id, Gender, and Car.

Step-by-step explanation:

As we learned in lesson 1.01 on page 2 gender, zip code, and free time activities were categorical and age, weight of box of food, and household income was quantitative. The question asks for the categorical variables. We can eliminate age. So B would be incorrect. Household income is average so we can eliminate D. Zip code is random and based of where you live. Driver ID is also random. Therefore the best answer would be A.

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