Final answer:
Comparing measures and having two different scales is possible by using the interval scale level of data, which allows for accurate comparisons between different scales. This is particularly useful when comparing graphs and patterns, and when a couple represents two individuals.
Step-by-step explanation:
When comparing measures and using two different scales, it is important to consider the interval scale level of data. Interval scale data has a definite ordering but no starting point, and the differences can be measured. This allows for comparisons between data points on different scales. For example, when comparing graphs with different scales, you can compare the overall patterns and make more accurate comparisons by using the new scale. This is particularly useful in situations where a couple represents two individuals and a more accurate comparison is needed.