# Question: A Define the random noise process in terms of the

a. Define the random noise process in terms of the relationship between successive observations.

b. Comment on the following: If it’s a random noise process, then special time-series methods aren’t needed to analyze it.

c. What are the forecast and forecast limits for a random noise process?

b. Comment on the following: If it’s a random noise process, then special time-series methods aren’t needed to analyze it.

c. What are the forecast and forecast limits for a random noise process?

## Answer to relevant Questions

a. Define a first-order autoregressive process in terms of the relationship between successive observations. b. What are the X and Y variables in the regression model to predict the next observation in a first-order ...The number of diners per quarter eating at your après-ski restaurant has been examined using trend-seasonal analysis. The quarterly seasonal indexes are 1.45, 0.55, 0.72, and 1.26 for quarters 1, 2, 3, and 4, respectively. ...Tables 14.4.9 and 14.4.10 show basic computer results from a Box–Jenkins analysis of yields on three-month U.S. Treasury bills each year from 1970 through 2009. a. What kind of process has been fitted? b. Write the model ...Why can the standard error of the average difference be a different number depending on which samples you are comparing? Refer to the data for problem 11. Continue using the logarithms of the lengths of calls. a. Find the total sample size, n, the grand average, X, and the number of samples, k. b. Find the between-sample variability and its ...Post your question