Econometrics Project Guidelines (25 points) This is an individual assignment. You are required to use an econometric model (regression analysis) (20 points, see below) and a separate forecasting technique (such as moving average or exponential smoothing) for sales forecast (5 points). . Results of the regression analysis must include (20 points): 1. An executive summary of the outcomes. (1 points) 2. Information supporting the choice of the variables, including the socio-economic variables (i.e., justification for model specification). (3 points) 3. Detail concerning the model development and data acquired. (2 points) 4. Estimation of the regression model. (4 points) 5. Test the statistical significance of the estimated coefficients. (4 points) 6. Interpretation of the estimated coefficient results with implications to business policy. (3 points) 7. Estimation and interpretation of the elasticities and their implications for pricing strategy. (3 points) Paper format: 12-point font size, double-spaced. Page limit: a maximum of six pages for the written part of the project, excluding tables and graphs, the front page, and the reference page. . Please write your name on the front page of the project. Submit your project on Canvas when you finish. The project is due on May 6, 2024. Note that your submission will be automatically checked for plagiarism