Explain a demand function.
Describe how managers use historical data to estimate it, highlighting the roles of regression, trend identification, and extrapolation beyond the observed sample.
Describe at least two specific forecasting techniques from the chapter (e.g., linear trend extrapolation or multivariate regression-based forecasts), noting their assumptions, strengths, and limitations for predicting future sales or revenues.
Apply one or more of these techniques to a concrete forecasting problem of your choice (such as projecting demand for a new pricing strategy, a product line extension, or an international market expansion), clearly stating your variables, data needs, and the steps you would follow.
Evaluate the reliability and ethical use of your forecast.
Discuss issues such as model misspecification, overreliance on trends, structural breaks, and the risk of drawing causal conclusions from purely correlational patterns.
Your discussion should consistently connect back to the terminology and logic of Chapter 3 (e.g., demand estimation, regression, trends, extrapolation).
Show how sound forecasting can inform responsible managerial decisions under uncertainty.
Note: Avoid overdependence on direct quotes. Direct quotes are a great way to strengthen our assertions and provide support. However, be sure to avoid using excessive direct quotes in lieu of original thought.
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