# Question: Problems 1 and 2 used different forecasting methods Which method

Problems 1 and 2 used different forecasting methods. Which method appears to provide the more accurate forecasts for the historical data? Explain.

## Relevant Questions

Consider the following time series data: a. Compute MSE using the most recent value as the forecast for the next period. What is the forecast for month 8? b. Compute MSE using the average of all the data available as the ...With a smoothing constant of a = 0.2, equation (5.7) shows that the forecast for week 13 of the gasoline sales data from Table 5.1 is given by y^13 = 0.2y12 1 0.8y^12. However, the forecast for week 12 is given by y^12 = ...Refer to the scenario described in Problem 13 and the file Cellphone. In XLMiner's Partition with Oversampling procedure, partition the data so there is 50 percent successes (churners) in the training set and 40 percent of ...Refer to the scenario described in Problem 19 and the file HousingBubble. a. Consider the Pre-Crisis worksheet data. Partition the data into training (50 percent), validation (30 percent), and test (20 percent) sets. Predict ...Cox Electric makes electronic components and has estimated the following for a new design of one of its products: Fixed cost = $10,000 Material cost per unit = $0.15 Labor cost per unit = $0.10 Revenue per unit = $0.65 These ...Post your question