Which phrase most closely describes the delphi technique?

Related Questions

• Q66:

  Moving average forecasting techniques: A)immediately reflect changing patterns in the time series. B)lead changes in the time series. C)smooth variations in the time series. D)exhibit more variability than the original data. E)are best used when demand shows a steady increase.

• Q67:

  The primary difference between seasonality and cycles is: A)the duration of the repeating patterns. B)the magnitude of the variation. C)the ability to attribute the pattern to a cause. D)There is more forecasting "noise" in a cycle. E)There is less forecasting "noise" in a cycle.

• Q68:

  Averaging forecasting techniques are useful for: A)distinguishing between random and non-random variations B)forecasting cyclical time series C)smoothing out fluctuations in data D)forecasting seasonal indexes E)identifying variables in the demand

• Q69:

  A network security company is securing input from information technology managers trying to anticipate when Wi Fi networks might be available in at least half of their client's businesses.Which method are they most likely to use? A)The Delphi method B)Consumer surveys C)Regression models D)Naive method E)Trend models

• Q70:

  One reason for using the Delphi method in forecasting is: A)responses are anonymous. B)to achieve a high degree of accuracy. C)to maintain accountability and responsibility. D)to be able to replicate results. E)the ability to directly meet with customers

• Q72:

  Which of the following would be an advantage of using opinions of a sales force to develop a demand forecast? A)The sales staff is least affected by changing customer needs. B)The sales force can easily distinguish between customer desires and probable actions. C)The sales staff is often aware of customers' future plans. D)Salespeople are least likely to be influenced by recent events. E)Salespeople are least likely to be biased by sales quotas.

• Q73:

  Using the latest observation in a sequence of data to forecast the next period is: A)a moving average forecast. B)a naive forecast. C)an exponentially smoothed forecast. D)an associative forecast. E)a judgmental forecast.

• Q74:

  Given the following historical data and weights of .5 for the most recent period,.3 for the next most recent,and .2 for the next after that,what is the weighted three-period moving average forecast for period 5? 11eab92b_c4aa_791d_99e6_99583bf8c7ce A)144.20 B)144.80 C)144.67 D)143.00 E)144.00

• Q75:

  Persistent upward or downward movement in time series data is called: A)seasonal variation. B)cycles. C)irregular variation. D)trend. E)random variation.

• Q76:

  Which is not a characteristic of simple moving averages applied to time series data? A)Smooths random variations in the data B)Weights each historical value equally C)Lags changes in the data D)Has minimal reliance on historical data E)Smooths real variations in the data

1
Which phrase most closely describes the Delphi forecasting technique? A) consumer survey B) random individual opinions C) group of expert's opinions D) test markets E) historic data 2
Which of the following statements are true about time-series forecasting? A) Time series analysis is based on the idea that the history of occurrences over time can be used to predict the future. B) Time series analysis tries to understand the system underlying and surrounding the item being forecast. C) Under time-series methods, demand is divided into the time-based components such as daily, weekly, etc. D) Time series methods are useful for long-range forecasts when the demand pattern is erratic E) A, B, and C 3
Under exponential smoothing, if we want our forecast to be very responsive to recent demand, the value of alpha should be: A) large B) small C) moderate D) zero E) the value of alpha doesn't matter 4
Which of the following would not be classified as a time-series technique? A) Simple moving average B) Exponential smoothing C) Box Jenkins technique D) Regression model E) Trend projections 5
Given that the previous forecast of 65 turned out to be four units less than the actual demand. The next forecast is 66. What would be the value of alpha if the simple exponential smoothing forecast method is being used? A) 0.02 B) 0.4 C) 0.04 D) 0.25 E) none of the above 6
Which of the following would not be classified as a component of demand? A) Trend B) Seasonality C) Cycle D) Autocorrelation E) Causal variation 7
A _____ model is usually more accurate than a ______ model for medium-to-long-range forecasts. A) Time-series decomposition, causal regression B) Causal regression, time-series decomposition C) Time-series decomposition, simple exponential smoothing D) Simple exponential smoothing, time-series decomposition E) Simple exponential smoothing, causal regression 8
An accuracy measure that may be used to indicate any positive or negative bias in the forecast is: A) Tracking signal B) Mean absolute deviation C) Mean squared error D) Standard error E) None of the above 9
A forecasting method that uses several simple forecasting rules and computer simulation of these rules on past data is called: A) Simulation B) Input/output C) Focus forecasting D) Historical analog E) None of the above

Which of the following describes the Delphi technique?

Which phase most closely describes the Delphi techniques?

Why Delphi method of forecasting is important?

Which of the following forecasting methodologies is considered as a time series forecasting technique?