Consider the following statements about Simple Time Series Models in data analytics. Identify which statement is correct and which one is incorrect:
- Statement I: Simple Time Series Models are primarily used to analyze and predict relationships between different variables.
- Statement II: Simple Time Series Models analyze patterns and trends in data recorded over regular time intervals, such as seasonality or cyclic patterns.
Choose the option that accurately identifies the correct and incorrect statement.