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1.Why does a business cycle diagram serve as a
2.Name TWO coincident indicators used in forecasting.
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- 4. Relate cycles, seasonality and trends in time series forecasting. What is their relevance in such type of forecasting? 5. Illustrate one example/scenario when judgmental forecast is utilized.What are the differences among models that forecast the level, trend, and seasonality?forecasts? 7. Contrast the use of MAD and MSE in evaluating forecasts. 8. What advantages as a forecasting tool does exponential smoc
- Name two coincident indicators used in forecastingWhat is a qualitative forecasting model, and when is its use appropriate?Question 1 The below graph plots the daily prices of Gold over time. a) Examine the plot and describe the issues that may arise using this time series data for forecasting. Offer solutions to these issues. b) Offer a suitable forecasting method for this data. р об 600- 500- 400- 300- mm der demate my Marmar 200 - 400 600 Time 800 1000
- 3. Economic fluctuationsBased on annual data from 2000-2010, the Gadget Company estimates that sales are growing according to a linear trend: Q = 50,000 + 200t where t is time and t = 0 in 2000. a. Forecast sales for 2013. b. Do you see any problems with this forecasting method?This is a Business Forecasting Question. I know the 3 stages for the evolution of forecasting are 1. Times Series Model 2. Demand Planning Model 3. Predictive Analytics Models I have questions in my homeworks about these stages, but they don't call them what I was given. I have the answer choices: Judgemental, Big Data, Quantitative, and Time Series. Obviously Time Series is one, but what are the other 2 Called. I am not putting the specifics of the questions because that's not what I'm asking. I'm just hoping that someone can clarify these 3 stages for me. I realize that I listed 4 things which means that one is not a stage. I think Big Data isn't a stage, but please correct me if I'm wrong.
- 2. Montyboy Pet Shop ships boxed can dogfood anywhere in the country. Using the following information, forecast the shipments for the first four months. Seasonal Relative Month January February March 1.2 1.3 1.3 1.1 0.8 0.7 The monthly forecast equation being used is: Yt = 402 + 3t April May June Where: to = January last year Yt = number of shipments Month July August September October November December Seasonal Relative 0.8 0.6 0.7 1.0 1.1 1.4 Question: Determine the trend amounts for the first four months of the next year assuming January, t=24; February, t=25; etc. Note: Round answers to whole numbers.Use the hypothetical data in the table to answer the questions. City Snowfall (inches) January February Boston, MA 34 62 Buffalo, NY 75 95 Cincinnati, OH 20 45 What was the average snowfall in Buffalo over this period? Round your answer to the first decimal. average snowfall: inches If the March data on snowfall is below the average that you calculated, what will happen to the average? The monthly average will fall. The monthly average will rise. The monthly average will not change.Homework i ed ok ences Aft کے 2 The forecasted demand for Week 20 is places.) b. Use the above trend equation to predict expected loadings for Weeks 20 & 21. (Round your final answers to 2 decimal A- W It should reach 870 loadings in Week # 3 decimal places.) c. The manager intends to install new equipment when the volume exceeds 870 loadings per week. Assuming the current trend continues, in which week (at the earliest) should the loading volume reach that level? (Use the rounded answers, as required, from any previous part of this problem. Do not round any other intermediate calculations. Round your final answer to 2 €1 + E C Q Search $ 4 R V C % 5 G M F9 JK 9 " F10 Alt F11 ✩ P น Ctrl 8 Help Save & Exit Submit F12 C PrtSc + 11 Insert Home 1 3/23/2023 Delete Backspace PgUp Er