Match the variable with its appropriate type based on the information given. age views income level [Choose ] [Choose ] [Choose ] A marketing firm is tracking the effectiveness of its new Instagram advertising campaign on Californian users. They are measuring 6 different variables to determine how successful the campaign has been. The manager is interested in the following variables: the number of times an account has seen their advertisement (views) and the amount of money spent on the product given the advertisement (sales) was seen. The manager also collected demographic information based on who viewed the advertisement: age (i.e., Baby Boomers, Generation X, Millennials, and Generation Z), gender, ethnicity, and income level (i.e., Low Income and Upper Income). The marketing firm is interested in determining how the different demographic variables affect the number of views and sales of the product.

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Nominal, categorical , categorical binary, quantataive 

Match the variable with its appropriate type based on the
information given.
age
views
income level
[Choose ]
[Choose ]
[Choose ]
Transcribed Image Text:Match the variable with its appropriate type based on the information given. age views income level [Choose ] [Choose ] [Choose ]
A marketing firm is tracking the effectiveness of its
new Instagram advertising campaign on Californian users.
They are measuring 6 different variables to determine how
successful the campaign has been. The manager is
interested in the following variables: the number of times
an account has seen their advertisement (views) and the
amount of money spent on the product given the
advertisement (sales) was seen. The manager also
collected demographic information based on who viewed
the advertisement: age (i.e., Baby Boomers, Generation X,
Millennials, and Generation Z), gender, ethnicity, and
income level (i.e., Low Income and Upper Income). The
marketing firm is interested in determining how the
different demographic variables affect the number of
views and sales of the product.
Transcribed Image Text:A marketing firm is tracking the effectiveness of its new Instagram advertising campaign on Californian users. They are measuring 6 different variables to determine how successful the campaign has been. The manager is interested in the following variables: the number of times an account has seen their advertisement (views) and the amount of money spent on the product given the advertisement (sales) was seen. The manager also collected demographic information based on who viewed the advertisement: age (i.e., Baby Boomers, Generation X, Millennials, and Generation Z), gender, ethnicity, and income level (i.e., Low Income and Upper Income). The marketing firm is interested in determining how the different demographic variables affect the number of views and sales of the product.
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