Final answer:
The strengths of a model are its positive attributes, while the weaknesses are its limitations.
Step-by-step explanation:
In analyzing a model, it is important to identify its strengths and weaknesses. The strengths of a model typically refer to its positive attributes, such as its accuracy, reliability, and ability to make accurate predictions. On the other hand, the weaknesses of a model usually pertain to its limitations, such as assumptions made, lack of real-world representation, and over-simplification of complex systems.