To determine which variables would show NO relationship, we should consider how the two variables interact or correlate with one another.
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The number of buildings in a city and the number of trees in the city - These could have a relationship as cities with more buildings might have fewer trees due to urban development, or vice versa.
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The number of customers in line at the store and the wait time in line - There is a direct relationship here; more customers typically lead to a longer wait time.
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The number of students enrolled in a school and the number of unused lockers at the school - These are likely related; as enrollment increases, one would expect fewer unused lockers, but there can still be a certain number of unused lockers regardless of enrollment, indicating a possible relationship.
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The population of a city and the number of letters in the city's name - There is no inherent relationship between the population size and the length of the city's name. The number of letters is a fixed attribute that does not change based on population.
Therefore, the option that would likely show NO relationship is:
The population of a city and the number of letters in the city's name.