Final answer:
False. In statistics, correlation refers to the relationship between two variables. A model that measures no variation means that there is no relationship or correlation between the two variables.
Step-by-step explanation:
False.
In statistics, correlation refers to the relationship between two variables. When city and state are correlated data, it means that there is a relationship between the city and the state. However, a model that measures no variation means that there is no relationship or correlation between the two variables. Therefore, the results will not be affected by this non-existent correlation.
For example, if we are studying the correlation between population size and crime rate in cities, we might expect to find a positive correlation, meaning that as the population size increases, the crime rate also tends to increase. However, if our model shows no variation or correlation, it means that the population size has no impact on the crime rate.