This course will improve students' ability to formulate and analyze a wide range of models that can aid in managerial decision-making. Students will use regression models to analyze data and interpret statistical information about the relationships between variables. The course will illustrate how regression analysis can be used for a variety of business applications including asset pricing, predictive analytics, forecasting, and demand estimation. It will then cover unconstrained and constrained optimization, illustrating how these types of models are used for applications including price setting, operations management and portfolio optimization. The class will be highly participatory and hands-on, alternating lecture with collaborative data analysis and problem-solving. Students will build upon knowledge acquired in QM716 and modeling will be performed in Microsoft Excel.