Question

Explain what conditions make quantitative forecasting methods appropriate. How can error measures be used to determine...

Explain what conditions make quantitative forecasting methods appropriate.

How can error measures be used to determine the number of periods to use in a moving average? What are you assuming about the future when you make this choice?

Homework Answers

Answer #1

Quantitative forecasting using to forecast specific business factors like production , demand, man power requirement etc. When historical data is available for a variable of minimum 3-4 years we can use quantitative forecast.

We use forecasting model to make forecast. Common model used to do forecasting are arima, sarima, exponential smoothing etc. This model consider historical data . also, model consider basic element like trend, cyclicity and seasonality in the data. So, we get estimation of volume for future, which help business tom manage its resource better.

Error give us how our forecast differs from actual event. In moving average we take average of two, three or six months. Which average give use less error we take that method for consideration. So,

error measured help us to get the correct period to take the average.

We assume that in future there will be no major event or event like business cycle, natural calamity will hit the business. Also, we take into the factor like business growth and steady growth in the market.

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
a. What does the MAPE tell a forecaster? The average error in a forecast over a...
a. What does the MAPE tell a forecaster? The average error in a forecast over a specific period of time. The quality of the data. The number of units of deviation of the actual from the Absolute Error. The source of quantitative errors. b. Which one of the following statements correctly contrasts qualitative and quantitative forecasting? Quantitative forecasting is much easier to use than qualitative forecasting. Qualitative forecasting’s subjectivity can capture forces at work that quantitative forecasting cannot capture. Quantitative...
Explain what Quantitative Easing means, how it works, where and when this policy was used. Was...
Explain what Quantitative Easing means, how it works, where and when this policy was used. Was QE an appropriate policy option? Can you suggest a different policy that could be used by the Fed or the Government to address the same problem?
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...
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...
Your manager is trying to determine what forecasting method to use. Based upon the following historical...
Your manager is trying to determine what forecasting method to use. Based upon the following historical data, calculate the following forecast and specify what procedure you would utilize. - PLEASE show all work in Excel including formulas. a. Calculate the simple three-month moving average forecast for periods 4-12. b. Calculate the weighted three-month moving average using weights of 0.50, 0.30, and 0.20 for periods 4-12. c. Calculate the single exponential smoothing forecast for periods 2-12 using an initial forecast (F1)...
Respond to these questions: • Explain what dummy variables are and how they can be used...
Respond to these questions: • Explain what dummy variables are and how they can be used to account for seasonality. • Please cite at least one academic article (APA or MLA format). • Select a product or service of your choice and explain how you would use dummy variables to measure seasonality in the sales of that product or service. • Explain the expected sign of each dummy variable.
NO DATA YET-NOT SURE ON HOW TO DO IT-STARTING WITH HOW DO I ATTAIN THE DATA?...
NO DATA YET-NOT SURE ON HOW TO DO IT-STARTING WITH HOW DO I ATTAIN THE DATA? WHAT AREAS? Develop your own questionnaire/survey to collect data on a two variables of interest. One variable of interest should be used to estimate a population mean (quantitative) and the other should be used to estimate a proportion (qualitative). Topic 1: Population mean - For one of the variables of interest (Quantitative): ● Present the data you used  ○ Use appropriate displays (graphs) of the...
What does it mean when a loan is amortized? Explain how amortization methods can vary from...
What does it mean when a loan is amortized? Explain how amortization methods can vary from one loan to another.
  Provide a real world example of a Type I error. 2.  Explain what a critical value is,...
  Provide a real world example of a Type I error. 2.  Explain what a critical value is, and explain how it is used to test a hypothesis. 3.  Explain what a p-value is, and explain how it is used to test a hypothesis. 4.  How do we decide whether to use a z test or a t test when testing a hypothesis about a population mean?
1. Provide a real world example of a Type I error. 2. Explain what a critical...
1. Provide a real world example of a Type I error. 2. Explain what a critical value is, and explain how it is used to test a hypothesis. 3. Explain what a p-value is, and explain how it is used to test a hypothesis. 4. How do we decide whether to use a z test or a t test when testing a hypothesis about a population mean?