Question

1 Which of the following statements is TRUE regarding time series forecasting methods? a Moving average...

1 Which of the following statements is TRUE regarding time series forecasting methods?

a Moving average (MA) method is appropriate for forecasting an item that shows seasonal pattern

b By assigning larger weight to the most recent period data, weighted moving average (WMA) method is more reflective to the changes in the most recent period of data than MA method

c Simple exponential smoothing method is NOT appropriate for forecasting stable item without trend

d Linear trend line method is able to reflect changes of trends in data

2 Longer-period moving averages method react more slowly to recent data value changes than do shorter-period moving averages method.

a True

b False

3 A relatively large positive value of cumulative error E, usually indicates forecasts are probably consistently lower than the actual data values

a True

b False

4 Which of the following statements is FALSE regarding basic patterns found in a forecasting item?

a Random variations are not predictable and follow no pattern

b The sales of holiday decoration often display seasonable pattern

c Cycle and seasonal patterns primarily differ in if the up and down movement of the item being repetitive

d An item may exhibit multiple basic patterns at the same time

5 Which of the following statements is FALSE regarding certain forecasting methods?

a Time series methods assume what has occurred in the past will continue to occur in the future

b Time series methods use both historical data and knowledgeable individualsâ opinions to make forecast

c Regression methods attempt to derive mathematical relationships between the forecasting item and other variables that may have impact on it

d Qualitative methods use knowledgeable individualsâ judgement, expertise and opinions to make forecast

6 When using the simple exponential smoothing method to forecast, the closer weighting factor alpha is to ________, the greater reaction to the changes of data value

a -1

b 0

c .5

d 1

7 Which of the following statements is FALSE regarding certain measurements of forecasting errors?

a With regards to the same data set, a forecasting method that has the lowest mean absolute deviation (MAD), also has the lowest mean absolute percent deviation (MAPD)

b As long as a forecasting method results in an average error being zero, the forecast method is the most accurate of all

c MAPD eliminates the drawback of MAD that view MAD alone cannot sufficiently assess the accuracy of a forecast

d When comparing the accuracy of different forecasting methods with regards to the same data set, MAD is a better option than cumulative error and average error

Homework Answers

Answer #1
  1. b By assigning larger weight to the most recent period data, weighted moving average (WMA) method is more reflective to the changes in the most recent period of data than MA method

    2

    a True

    3

    b False

    4

    c Cycle and seasonal patterns primarily differ in if the up and down movement of the item being repetitive

    5

    a Time series methods assume what has occurred in the past will continue to occur in the future

    6

    d 1

    7

    d When comparing the accuracy of different forecasting methods with regards to the same data set, MAD is a better option than cumulative error and average erro

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
which of the following time series forecasting methods would not be used to forecast seasonal data?...
which of the following time series forecasting methods would not be used to forecast seasonal data? dummy variable regression simple exponential smoothing time series decomposition multiplicative Winters method
Given is a historical time series for job services demand in the prior 6 months. Month...
Given is a historical time series for job services demand in the prior 6 months. Month Demand 1 20 2 16 3 17 4 19 5 19 6 19 a) The MAD based on the Exponential smoothing α = 0.3 method =  (4 decimal places). b) The MAD based on the 3 months moving average method =  (in 4 decimal places). c) The MSE based on the 3 months moving average method = . d) Use MAD as an criterion to evaluate...
Q4 Which of the following statements are true regarding exponential smoothing and moving averages? Multiple Choice...
Q4 Which of the following statements are true regarding exponential smoothing and moving averages? Multiple Choice Exponential smoothing gives more weight to the older observation and less weight to the recent observation. Moving averages looks at values for n number of periods and exponential smoothing looks at values for all periods. Moving averages uses past values of a time series and exponential smoothing uses future values of a time series. Trend and seasonality can be present in the time series.
A k-period moving average uses __________. the mean of the time series values for the most...
A k-period moving average uses __________. the mean of the time series values for the most recent k periods to forecast the time series value for the next period the mean of the time series values for the most recent k - 1 periods to forecast the time series value for the next period the mean of the time series values for the most recent k + 1 periods to forecast the time series value for the next period None...
Consider the following time series data. Month 1 2 3 4 5 6 7 Value 22...
Consider the following time series data. Month 1 2 3 4 5 6 7 Value 22 11 18 10 17 21 13 A) What type of pattern exists in the data? The data appear to follow a seasonal pattern. The data appear to follow a trend pattern.     The data appear to follow a horizontal pattern. The data appear to follow a cyclical pattern. B) Develop the three-month moving average forecasts for this time series. Month Time Series Value Forecast 1...
1.A) In abut 5 lines explain how associative methods of forecasting differ from Time series methods...
1.A) In abut 5 lines explain how associative methods of forecasting differ from Time series methods of forecasting. B) Which one would you use to explain how the demand for pork might affect the demand for beef? 2. What all does Hard Rock Cafe's Point of Sale (POS) system capture? At what level is the information aggregated? 3. A) In about 5 lines, discuss the key differences between Time Series method of forecasting and Qualitative Methods of forecasting. B) Name...
1) Calculate a three period moving average forecast for the months of July, August, and September...
1) Calculate a three period moving average forecast for the months of July, August, and September 2011. Using the observed data and your forecasted values, calculate the MAPE for this forecasting method over those three months. Select the correct answer from the list given. 0.8% 2.6% 5.7% 7.9% 9.3% 27.9% 2) Given this data, what forecasting method would be best to use to forecast the unemployment rate in January 2012? Weighted moving average Three-period moving average Five-period moving average Simple...
Part 1 : Which of the following is often used to forecast the market penetration of...
Part 1 : Which of the following is often used to forecast the market penetration of a new service? A. Regression B. Historical analogy C. Cross-impact analysis D. N-period moving average E. Exponential smoothing with trend adjustment Part 2: Which of the following types of forecasting models uses a specified number of recent observations to make a short-term forecast of demand? A. Regression B. Econometric C. Moving average D. Cross-impact analysis E. Exponential smoothing Part 3: How does the moving...
Consider the following time series data: Month 1 2 3 4 5 6 7 Value 24...
Consider the following time series data: Month 1 2 3 4 5 6 7 Value 24 15 21 12 19 21 16 (a) Choose the correct time series plot. (i) (ii) (iii) (iv) - Select your answer -Graph (i)Graph (ii)Graph (iii)Graph (iv)Item 1 What type of pattern exists in the data? - Select your answer -Positive trend patternHorizontal patternVertical patternNegative trend patternItem 2 (b) Develop a three-month moving average for this time series. Compute MSE and a forecast for month...
Consider the following time series data: Month 1 2 3 4 5 6 7 Value 23...
Consider the following time series data: Month 1 2 3 4 5 6 7 Value 23 13 21 13 19 21 17 (a) Create a time series plot. What type of pattern exists in the data? - Select your answer -Positive trend patternHorizontal patternVertical patternNegative trend patternItem 2 (b) Develop a three-month moving average for this time series. Compute MSE and a forecast for month 8. If required, round your answers to two decimal places. Do not round intermediate calculation....
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT