Compare and contrast each quantitative forecast you develop. Choose the one forecast you determine would be the best for the firm and be prepared to explain why you chose this.

The purpose of this assignment is for students to learn how to apply

The two quantitative forecasts I developed are the exponential smoothing forecast and the linear regression forecast. The exponential smoothing model is based on data from past periods to predict future values by taking into account any underlying trends or seasonality present in the data. On the other hand, linear regression uses more advanced statistical techniques to analyze relationships between variables in order to generate more accurate predictions.

I believe that a linear regression forecast would be the best for this firm since it provides a more detailed analysis which allows us to identify factors that could potentially impact our projections and make necessary adjustments accordingly. Additionally, it also helps identify potential outliers which could indicate unexpected changes in demand or sales volume which can then be further investigated if needed. Overall, its accuracy and flexibility make it an ideal choice for predicting future sales figures for this firm’s products.