Using the MAD criterion, determine which one of the equations developed in Exercise 18.8 is the better fit to the data in that exercise. Repeat the evaluation, using the MSE criterion.
Answer to relevant QuestionsWhat is the Durbin-Watson test for autocorrelation, and how can it be useful in evaluating the relevance of a given regression model that has been fitted to a set of time series data? Analysis of a time series consisting of weekly visits (in thousands) to a corporate website has led to the following autoregressive forecasting equation: ŷt = 34.50 + 0.58yt–1 – 0.72yt–2. If there were 260 thousand ...An executive’s salary increased from $95,000 to $130,000 between 2000 and 2007, but the Consumer Price Index went from 172.2 to 207.3 during this time span. In terms of real income, what was the percentage increase or ...Given the time series in Exercise 18.61, and using exponential smoothing with α = 0.8, what would have been the forecast for 2003? In exercise Construct four-period and five-period centered moving averages for the quarterly residential gas sales in Exercise 18.69. Are there any other energy industries for whom a four-period moving average might have such a great ...
Post your question