A police station had to deploy a police officer for an emergency multiple times in the last four evenings. The table below shows the number of emergencies each evening. Weekday Number of calls each day Monday 8 Tuesday 2 Wednesday 11 Thursday 15 What would be their forecast for the emergencies on Friday using a two-day moving average approach?

A recently introduced product has a positive trend in sales. The product’s sales have increased in each of its first eight weeks on the market. The forecast for week 6 was 1,325 (F6 = 1,325), with A6 = 1,283 and T6 = 42. Using smoothing components α = 0.20 and β = 0.30, develop forecasts for weeks 7 and 8.

Please forecast the mileage (in 100) for 2013 using a 4 period moving average method. Please keep 1 decimal place.

A police station had to deploy a police officer for an emergency multiple times in the last four evenings. The t below shows the number of emergencies each evening. Weekday Number of calls each day Monday 10 Tuesday 2 Wednesday 12 Thursday 12 (Round your answer to 1 decimal place.) What would be their forecast for the emergencies on Friday using a two-day moving average approach? Forecast for Friday calls

12.7 The Intrepid mutual fund of growth stocks has had the following average monthly price for the past 10 months. Month 1 2 3 4 5 6 7 8 9 10 Fund Price 62.7 63.9 68.0 66.4 67.2 65.8 68.2 69.3 67.2 70.1 Compute the exponentially smoothed forecast with a = 0.40, the adjusted exponentially smoothed forecast with a = 0.40 and ß = 0.30, and the linear trend line forecast. Compare the accuracy of the three forecasts using cumulative error and MAD, and indicate which forecast appears to be most accurate.

Given an actual demand this period of 90, a forecast for this period of 58, and an alpha of 0.2, what would the forecast for the next period be using exponential smoothing?

Explain different forecasting techniques like moving averages, exponential smoothing, regression etc.

A security company had to deploy guards for emergencies multiple times in the last four evenings. The numbers of emergencies for Monday, Tuesday, Wednesday, and Thursday were 7, 4, 8, and 11, respectively. What would be the security company's forecast for the number of emergencies on Friday using an exponential smoothing forecasting approach? (Use \alpha= 0.2 and a forecast for Monday of 10 emergencies)

Explain why is accurate forecasting so important to companies that use a continuous replenishment inventory system?

Below is data of lobster sales volume from a seafood company. We are using exponential smoothing (α = 0.5) and 3-year moving average to forecast it. Please fill the blanks above and write your processes below.  What are the mean absolute deviations (MADs) of the two methods? Which method will you choose based on the results?