FiltersDone

Question type

Essay

Multiple Choice

Short Answer

True False

Matching

Exam 3: Forecasting

Show Answer

Share

---

All types

Filters

Study FlashcardsPractice ExamLearn

Question 31

Multiple Choice

Review LaterAdd Note

Review Later

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

A) Simple moving average
B) Market research
C) Leading indicators
D) Historical analogy
E) Simulation

Correct Answer

verified

Show Answer

Question 32

True/False

Review LaterAdd Note

Review Later

Random errors can be defined as those that cannot be explained by the forecast model being used.

Correct Answer

verified

Show Answer

Question 33

Multiple Choice

Review LaterAdd Note

Which of the following forecasting methodologies is considered a causal forecasting technique?

A central premise of exponential smoothing is that more recent data is less indicative of the future than data from the distant past.

In causal relationship forecasting leading indicators are used to forecast occurrences.

A time series is defined in the text as chronologically ordered data that may contain one or more components of demand variation: trend,seasonal,cyclical,autocorrelation,and random.

A company hires you to develop a linear regression forecasting model.Based on the company's historical sales information,you determine the intercept value of the model to be 1,200.You also find the slope value is minus 50.If after developing the model you are given a value of X = 10,which of the following is the resulting forecast value using this model?

A company wants to forecast demand using the weighted moving average.If the company uses two prior yearly sales values ,and we want to weight year 2012 at 35% and year 2013 at 65%,what is the weighted moving average forecast for Year 2014? __________________________________________

Which of the following are used to describe the degree of error?

If you were selecting from a variety of forecasting models based on MAD,which of the following MAD values from the same data would reflect the most accurate model?

A restriction in using linear regression is that it assumes that past data and future projections fall on or near a straight line.

Simple exponential smoothing lags changes in demand.

In business forecasting,what is usually considered a long-term time period?

The value of the smoothing constant alpha in an exponential smoothing model is between 0 and 1.

In business forecasting,what is usually considered a medium-term time period?

In most cases,demand for products or services can be broken into several components.Which of the following is considered a component of demand?

You are hired as a consultant to advise a small firm on forecasting methodology.Based on your research you find the company has a MAD of 3.Its wants to have a 99.7 percent control limits on its forecasting system.It's most recent tracking signal value is 15.What should be your report to the company?

A company has actual unit demand for four consecutive years of 100,105,135,and 150.The respective forecasts were 120 for all four years.Which of the following is the resulting MAD value that can be computed from this data?

Exponential smoothing is always the best and most accurate of all forecasting models.

A good forecaster is one who develops special skills and experience at one forecasting technique and is capable of applying it to widely diverse situations.