Practice 10 questions on ECON-5337 - Business & Econ Forecasting at business & econ. Free AI-generated quiz on uNotes — track your score, retake anytime.
1When using the ses() function in R for Simple Exponential Smoothing, which two parameters are typically optimized?
2Based on the formula used in the pigs series analysis, what is the calculation for a 95% prediction interval for the first forecast, where 's' is the standard deviation of the residuals?
3According to the analysis of the 'books' dataset, which features were identified in the paperback and hardcover daily sales data?
4Why did the student conclude that Holt's linear method was a better forecast than Simple Exponential Smoothing (SES) for the 'books' dataset?
5What does the 'M' stand for in the ETS model specification 'ETS(M,N,N)'?
6In the comparison between ets() and snaive() across multiple datasets (ausbeer, bricksq, etc.), which model generally produced the best forecasts based on the MAPE value?
7According to the documentation, when does the ets() function potentially fail to provide 'good' forecasts?
8What is the purpose of using the window() function in the provided R code snippets?
9Which R package is loaded to access the datasets and forecasting functions like ses() and holt() in the assignments?
10In Holt's linear method, the forecast is a function of which components?
