Exam 22: Time Series Analysis

Consider the following to answer the question(s) below: A company has developed a linear trend model to forecast monthly sales. The following data show the actual sales and the "fitted" sales for months 1-12. -Based on these data, what is the mean square error (MSE) for the linear trend model?

Consider the following to answer the question(s) below: A company has developed a linear trend model to forecast monthly sales. The following data show the actual sales and the "fitted" sales for months 1-12. -Based on these data, what is the mean absolute deviation (MAD) for the linear trend model?

Consider the following to answer the question(s) below: A third-order autoregressive model, AR (3) was fit to monthly closing stock prices, adjusted for dividends, of Boeing Corporation from January 2006 through August 2008 (closing price on the first trading day of the month). The results are as follows: -Which of the following is true about index numbers? Index numbers are

If you suspect that your trend forecasting model may have autocorrelated forecast errors, it is appropriate to compute

Annual estimates of the population in the age group 65+ in a certain city from 2005 (t = 1) onward are used to estimate the following quadratic trend model: , = 148,187 - 554t + 135.5t2 Using this model, the estimate for 2014 is

The table below shows the closing daily stock prices for Kyopera Corporation for September 2 through September 5, 2016, as well as 4-day moving average, 2-day moving average and naïve forecasts. Calculate the MAD and MSE for each of the three types of forecasts. Which is the best?

A time series is shown below. Perform single exponential smoothing for this data set using α = 0.2. What is the value of the forecast for period 6?

Consider the following to answer the question(s) below: Annual estimates of the population in a certain city from 2005 (t = 1) onward are shown in the time series graph below. -The dominant component in this time series is