Logistic Regression & Pricing Optimization Execution
Budget: $30 – $250 CAD
Assignment Instructions:
The accompanying PDF file contains six questions, with an additional extra-credit component in Question 3. For these six questions, you will need to implement logistic regression from scratch mainly in Excel Solver, framing it as a maximum likelihood estimation problem. Additionally, based on the given price response curve, you will be required to optimize pricing using an alternative approach in price optimization.
Each question in the PDF will specify the relevant independent variables and segmentation criteria. At a high level, you will iteratively refine the maximum likelihood estimation and price optimization methodology, applying it to increasingly sophisticated models and custom segments.
Your submission should include a written analysis (in Word or PDF format) for each question, supplemented by relevant analytical components such as a spreadsheet model or other supporting materials. In your written analysis, ensure you clearly articulate the reasoning behind your solutions. Spreadsheet models should be well-annotated and structured to enhance readability and understanding.
The accompanying PDF file contains six questions, with an additional extra-credit component in Question 3. For these six questions, you will need to implement logistic regression from scratch mainly in Excel Solver, framing it as a maximum likelihood estimation problem. Additionally, based on the given price response curve, you will be required to optimize pricing using an alternative approach in price optimization.
Each question in the PDF will specify the relevant independent variables and segmentation criteria. At a high level, you will iteratively refine the maximum likelihood estimation and price optimization methodology, applying it to increasingly sophisticated models and custom segments.
Your submission should include a written analysis (in Word or PDF format) for each question, supplemented by relevant analytical components such as a spreadsheet model or other supporting materials. In your written analysis, ensure you clearly articulate the reasoning behind your solutions. Spreadsheet models should be well-annotated and structured to enhance readability and understanding.