1.) Match the following descriptions to the most appropriate quantitative forecasting technique

Choose from the following chart: Weighted Moving Average, Jury of Executive Opinion, Delphi Method, Naive, Historical Analogy, Linear Trend, Personal Insight, Customer Survery, Exponential Smoothing, Simple Moving Average.

1. Technique in which the last period's actuals are used as this period'sforecast without any adjustment.

2. A mathematical result that is calculated by averaging a specific number of past data points.

3. A forecasting technique that weights historical observations with rapidly decreasing weights to forecast values.

4. Forecasting technique that puts more emphasis on recent data and less on past data through the use of a weighting factor.

5. A simplisticforecastingtechnique that imposes a line of best fit to time series historical data

2.) Match the following descriptions to the most appropriate qualitative forecasting technique.

Choose from the following chart: Customer Survey, Exponential Smoothing, Delphi Method, Linear Trend, Naive, Jury of Executive Opinion, Personal Insight, Weighted Moving Average, Historical Analogy, Simple Moving Average

1. People who know the most about the product and the marketplace would likely form a management panel to determine the forecast

2. The forecast is developed using a sales history that is comparable to the present situation such as that of a similar product

3. The forecast is based on the insight of the most experienced, most knowledgeable, or most senior person available

4. Customers are approached directly and asked to give their opinion about the product to create the forecast

5. An individual is tasked with collecting the input of each forecasting participant separately to avoid any bias in the development of the forecast