QUESTION 5 8 points Save Answer The Instant Paper Clip Office Supply Company sells and delivers office supplies to companies, schools, and agencies within a 50-mile radius of its warehouse. The office supply business is competitive, and the ability to deliver orders promptly is a big factor in getting new customers and maintaining old ones. The manager of the company wants to be certain that enough drivers and vehicles are available to deliver orders promptly and that they have adequate inventory in stock. Therefore, the manager wants to be able to forecast the demand for deliveries during the next month. From the records of previous orders, management has accumulated the following data for the past 4 months Month Jan. Mar. Apr. Feb. Orders 120 90 110 95 Orders 140 120 100 80 60 40 20 0 0 Month Compute the monthly demand forecast for February through May using the naive forecast (without trend). Month Orders Forecast (naive) Jan. 120 1 Feb. 90 Mar. 110 1 Apr. 95 1 May Compute the monthly demand forecast for May using exponential smoothing with smoothing parameter alpha = 0.4. Month Orders Forecast (exponential smoothing) Jan. 120 Feb. 90 Mar. 110 Apr. 95 May Compute the mean absolute deviation (MAD) for each of the methods used. Absolute error Absolute error Month Orders (naive) (exponential smoothing) Mar. 110 Apr. 95 From errors in Mar and Apr, compute the Mean Absolute Deviation for each forecast method. MAD of the nave method = MAD of the exponential smoothing =