Which of the following statements are true?
[removed] 
Exponential smoothing with trend requires selection of two smoothing constants. 

[removed] 
Judgmental forecasting methods have been developed to interpret statistical data. 

[removed] 
The sales force composite method is a topdown approach to forecasting. 

[removed] 
The movingaverage forecasting method assigns unequal weights to each value in the average. 

[removed] 
None of the above 
In order to increase the responsiveness of a forecast made using the movingaverage method, the number of values in the average should be:
[removed] 
multiplied by a larger alpha. 

[removed] 
multiplied by a smaller alpha. 

[removed] 
adjusted with smoothing. 

[removed] 
increased from the current value. 

[removed] 
None of the above 
Which of the following statements is true with regard to linear regression?
[removed] 
It can be used to calculate a trend line. 

[removed] 
It must have a slope coefficient. 

[removed] 
It relates a dependent variable to an independent variable. 

[removed] 
it assumes a linear relationship. 

[removed] 
All of the above 
Two different forecasting methods are applied to the same data set. If the Mean absolute deviation is higher for the second method and the Mean square error is higher for the first method, what does this indicate?
[removed] 
Both methods produce unacceptably high error rates. 

[removed] 
The first method is less accurate than the second method. 

[removed] 
The first method produces more extreme errors than the second method. 

[removed] 
The second method produces more extreme errors than the first method. 

[removed] 
None of the above 
In exponential smoothing with trend, the forecast consists of:
[removed] 
a movingaverage and a trend factor 

[removed] 
the old forecast adjusted by a trend factor. 

[removed] 
the old forecast and a smoothed trend factor. 

[removed] 
a trend line built using a linear regression model. 

[removed] 
None of the above 
Which of the following is an example of a seasonal pattern in data?
[removed] 
The data values are continually increasing with time. 

[removed] 
The data exhibits an exponentially smoothed pattern. 

[removed] 
The data variation is erratic in most quarters. 

[removed] 
The volume of calls is dependent upon the product release schedule. 

[removed] 
None of the above 
The president of State University wants to forecast student enrollment for this academic year based on the following historical data:
Year 
Enrollments 
5 years ago 
25,000 
4 years ago 
26,000 
3 years ago 
28,000 
2 years ago 
30,000 
Last year 
32,000 
What is the forecast for this year using exponential smoothing with alpha = 0.5, if the forecast for two years ago was 28,000?
[removed] 
28,000 

[removed] 
28,500 

[removed] 
29,000 

[removed] 
30,500 

[removed] 
None of the above 
Gradual, longterm movement in timeseries values is called:
[removed] 
seasonal variation. 

[removed] 
cyclical movement. 

[removed] 
random variation. 

[removed] 
linear regression. 

[removed] 
None of the above. 
Using the following data, what is the movingaverage forecast for the next period using a three period model?
[removed] 
58 

[removed] 
60 

[removed] 
61 

[removed] 
62 

[removed] 
None of the above 
Which of the following statements is true regarding the Mean absolute deviation measure and the Mean square error measure?:
[removed] 
The values for both measures are unchanged if the forecasting method is changed. 

[removed] 
Both are measures of seasonal variation. 

[removed] 
Lower values of these measures reflect more accurate forecasting methods. 

[removed] 
The Mean absolute deviation measure places greater weight on large errors. 

[removed] 
None of the above. 
The president of State University wants to forecast student enrollment for Year 3. Using exponential smoothing with trend, the forecast for the current year (Year 1) is 22,000. Assume the estimated trend is 2,500. What is the forecast for Year 3?
[removed] 
24,500. 

[removed] 
27,000. 

[removed] 
29,500. 

[removed] 
32,000. 

[removed] 
34,500. 
We value our customers and so we ensure that what we do is 100% original..
With us you are guaranteed of quality work done by our qualified experts.Your information and everything that you do with us is kept completely confidential.
You have to be 100% sure of the quality of your product to give a moneyback guarantee. This describes us perfectly. Make sure that this guarantee is totally transparent.
Read moreThe Product ordered is guaranteed to be original. Orders are checked by the most advanced antiplagiarism software in the market to assure that the Product is 100% original. The Company has a zero tolerance policy for plagiarism.
Read moreThe Free Revision policy is a courtesy service that the Company provides to help ensure Customer’s total satisfaction with the completed Order. To receive free revision the Company requires that the Customer provide the request within fourteen (14) days from the first completion date and within a period of thirty (30) days for dissertations.
Read moreThe Company is committed to protect the privacy of the Customer and it will never resell or share any of Customer’s personal information, including credit card data, with any third party. All the online transactions are processed through the secure and reliable online payment systems.
Read moreBy placing an order with us, you agree to the service we provide. We will endear to do all that it takes to deliver a comprehensive paper as per your requirements. We also count on your cooperation to ensure that we deliver on this mandate.
Read more