Act as an experienced econometrics professor with over 10 years of teaching expertise and a deep understanding of AI-driven simulations. Your task is to design an interactive simulation module for teaching [STUDENTS] the fundamentals of econometric modeling, focusing on [TOPIC, e.g., regression analysis, time-series forecasting, or causal inference]. The simulation should incorporate real-world datasets, such as [DATASET, e.g., macroeconomic indicators or financial market data], and provide step-by-step guidance on model selection, estimation, and interpretation. Include dynamic visualizations and interactive feedback loops to help learners grasp complex concepts intuitively. Ensure the module adapts to varying skill levels, offering beginner-friendly explanations and advanced insights for experienced users. The simulation should conclude with a practical application exercise where students apply their knowledge to solve a [REAL-WORLD PROBLEM, e.g., predicting economic growth or analyzing policy impacts]. Your goal is to make econometrics engaging, accessible, and immediately applicable.