Services
Discover
Ask a Question
Log in
Sign up
Filters
Done
Question type:
Essay
Multiple Choice
Short Answer
True False
Matching
Topic
Statistics
Study Set
Business Statistics
Exam 16: Analyzing and Forecasting Time-Series Data
Path 4
Access For Free
Share
All types
Filters
Study Flashcards
Practice Exam
Learn
Question 21
True/False
The owners of Hal's Cookie Company have collected sales data for the past 8 months.These data are shown as follows:
Using a starting forecast in period 1 of 100,the forecast bias over periods 2-8 is negative when a single exponential smoothing model is used with a smoothing constant of 0.20
Question 22
Multiple Choice
If you suspect that your trend forecasting model may have autocorrelated forecast errors,which the following should you compute?
Question 23
True/False
In order for a time series to exhibit a seasonal component,the data must be measured in periods as short or shorter than quarterly.
Question 24
True/False
Prior to conducting double exponential smoothing a simple linear regression is conducted and the trend equation is
= 42 + 38.3t,so the smoothed constant process value should be C
0
= 38.3 and the smoothed trend value should be T
0
= 42.
Question 25
Multiple Choice
In a simple exponential smoothing model,which of the following statements is true?
Question 26
Multiple Choice
A company has developed a linear trend regression model based on 16 quarters of data.The independent variable is the measure of time (t = 1 thru 16 where quarter 1 is winter quarter,2 is spring,etc. ) .The company has also developed seasonal indexes for each quarter as follows:
The linear trend forecast equation is:
= 120 + 56t. Given this information,what is the seasonally unadjusted forecast for period 19?
Question 27
True/False
A seasonal index is a statistic that is computed from time-series data to indicate the effect of the seasonality in the time-series data.
Question 28
True/False
In using simple linear regression to find the linear trend in an annual time series from 1990 to 2005,the values 1990,1991,etc.are used as the values of the independent variable t when the regression is conducted.