ong-term forecast
Q: Construct a time senies plot. what yoe of patten exists in the data 2 Compare moving avenage thing…
A: Here, for the given data, First, I would draw the time series plot, this plot could be defined by…
Q: Today is May 16th. We have got the interim result of the sales figures in the first half of May.…
A: Sales targets stated before the beginning of the task give a clear idea to the sales agents…
Q: In your own opinion, which is a better planning tool: benchmarking or forecasting
A: Planning Tools are helpful in guiding organizational actions steps associated with the execution of…
Q: My App is a small but growing start-up that sees demand for several of its apps increasing quickly.…
A: Double exponential smoothing is a forecasting model which identify the forecasting with the…
Q: The solution of coping with natural differences between marketing and production functions is to do…
A: Option 1: - When natural differences occur in production and marketing it is necessary to have…
Q: a) Is there a strong linear trend in sales over time? b) Fill in the table with what Bob and Sherry…
A: Using excel for performing regression with Sales as the dependent variable and period as independent…
Q: In the Stokely Company, marketing makes a sales forecast by developing a sales force composite.…
A: In the Stokely company, the sales and operations team are generating their own sales forecast by…
Q: Distinguish between the following types of forecasts:a. Aggregate versus single item
A: Forecasting is the process of identifying the demand accurately for future production planning and…
Q: Demand forecasting is a process of
A: Demand forecasting is the process of making guesses about future customer demand over a defined…
Q: Which would result in a positive budget forecasting error?
A: Budget forecasting helps in determining the short term as well as long term goals of the company.…
Q: The following table shows the past two years of quarterly sales information. Assume that there are…
A:
Q: Compare and contrast between the grassroots forecasting technique and the Delphi method.
A: Meaning- Grassroots forecasting technique The grassroots method asks those nearest to the end…
Q: Evaluate what is the purpose of a forecast. What factors does a firm use to create its forecasts of…
A: Forecasting refers to predicting the future with the help of the data available to the company. The…
Q: Developing joint forecasting with supply chain partners offersthe following benefits:a) Reduce…
A: A supply chain is a network between a business and its suppliers to manufacture and sell to the…
Q: Distinguish between the following types of forecasts:b. Short-term versus long-term
A: Forecasting is generally used to predict future events. Forecasting is done with the help of past…
Q: Consider the following information: Year Quarter Actual Sales (000) 2018 1 20 2 15…
A: The trend projection method depends with the understanding that the elements obligated for the…
Q: Use the guiding questions below to develop recommendations based on the June budget to help the…
A: Marketing budget refers to the monetary aspects of the marketing department. It deals with the money…
Q: Demand forecasting is the primary data for decision-making in any organization. a. What will happen…
A: Demand forecasting refers to a decision-making process that helps companies to predict future…
Q: Historical demand for a product is as follows. The sales manager wants to test various forecasting…
A: Calculate forecasting model using MAD, Mean Absolute Deviation The formula is: MAD … (2) Here, A…
Q: Distinguish between the following types of forecasts:a. Aggregate versus single item.b. Short-term…
A: Since you have asked for multiple subparts, we will solve the first two sub-parts for you. To get…
Q: 1. A forecaster must decide on the value of this factor before he can use the simple moving average…
A: Since you have asked multiple questions, we will solve the first question for you. If you want any…
Q: How are you going to make your forecast more effective? Give a concrete example.
A: Forecasting is a decision-making tool used by many businesses to help in budgeting, planning, and…
Q: When a new business is started, or a patent idea needs funding, venture capitalists or investment…
A: With the inception of any new enterprise or business, there exists a requirement for the funding and…
Q: .............. help you to make better decisions, or to plan your business strategy, by challenging…
A: .............. help you to make better decisions, or to plan your business strategy, by challenging…
Q: determines the length of the future time period for which a sales forecast must be prepared for…
A: Planning is a fundamental activity of management. Forecasting forms the basis of planning. Be it…
Q: What is the term for forecasts used for making day-to-day decisions about meeting demand?
A: Forecasting is a technique used to predict future events using quantitative and qualitative methods…
Q: Sales of tablet computers at Ted Glickman's electronicsstore in Washington, D.C., over the past 10…
A: Given data is
Q: Demand forecasting is the art and science of predicting future market demand. Select one: a. True b.…
A: Demand forecasting refers to predicting customer demands by using historical sales data. It…
Q: Which OPSCM maco designs / operations models / manufacturing environments use a forecast to plan for…
A: This method involves evaluating the production of a specific number of each production model and its…
Q: b. Explain the term “wrong” as it pertains to a good forecast
A: A forecast that is done by considering all the trends from current and historical data and by…
Q: Which of the following techniques helps the firm eliminate inventory carrying costs? a. Using a…
A: The cost that is incurred on the storage of unsold goods by the organization is known as inventory…
Q: Suppose that you are asked to forecast future stockprices of ABC Corporation, so you proceed to…
A: The accompanying information should be gathered to figure future stock costs of abc organization:-
Q: a) What is the value of your forecast?
A: The weighted moving averages (WMA) are accomplished by multiplying every quantity in the data set…
Q: Serena just visited a restaurant for dinner. During the dinner time, she overheard two customers…
A: It's a case where employees have leaked the confidential information unknowingly in the public. It's…
Q: b) Use exponential smoothing with a smoothing constant of 0.30 to forecast the sales. Assume that…
A: The Exponentially Weighted Moving Average (EWMA) is a quantitative or factual measure used to…
Q: Q.2.2 Compare and contrast between the grassroots forecasting technique and the Delphi method. Q.2.2…
A: The grassroots strategy asks those nearest to the end client to figure out what they will sell in…
Q: A is the collection of d that helps forecast whether an idea, opportunity or venture will survive.…
A: Business forecasting: Estimate what will happen in the future, especially by considering present…
Q: Information that is used by investors for expecting future earnings is recorded in Select one: a.…
A: The correct option is option a. annual report.
Q: Which type of industries would make the most use of short-range forecasts? Which would make the most…
A: Forecasting means predicting something based on historical data. Forecasting is used by the firms to…
Q: how to turn this weaknesses below into strength to a company? Not very good at product demand…
A: Hi! Thanks for the question. As per our Bartleby guideline we are supposed to do first three…
Q: Which one of the following is considered a disadvantage of sales force composite method of…
A: The Sale Force Composite Method is a sale forecasting method wherein the sales specialists forecast…
Q: ering the necessary information for financial forecasting for a startup company that doesn’t have…
A: Financial Forecasting is the process of preparing, assessing, or anticipating a business' future…
Q: 40 ________ is a planning tool that relies on past data to predict the future demand: Select one:…
A: ANSWER: Forecasting is the planning tool that relies on past data to predict the future demand.
Q: in your own opinion,why benchmarking is a better planning tool?
A: Note: We are answering question no.1 as the question that needs to be answered is not mentioned.…
Q: Explain the term Forcasting
A: In getting ready designs for the future, the administration authority needs to make a few…
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- The file P13_42.xlsx contains monthly data on consumer revolving credit (in millions of dollars) through credit unions. a. Use these data to forecast consumer revolving credit through credit unions for the next 12 months. Do it in two ways. First, fit an exponential trend to the series. Second, use Holts method with optimized smoothing constants. b. Which of these two methods appears to provide the best forecasts? Answer by comparing their MAPE values.The file P13_28.xlsx contains monthly retail sales of U.S. liquor stores. a. Is seasonality present in these data? If so, characterize the seasonality pattern. b. Use Winters method to forecast this series with smoothing constants = = 0.1 and = 0.3. Does the forecast series seem to track the seasonal pattern well? What are your forecasts for the next 12 months?The file P13_22.xlsx contains total monthly U.S. retail sales data. While holding out the final six months of observations for validation purposes, use the method of moving averages with a carefully chosen span to forecast U.S. retail sales in the next year. Comment on the performance of your model. What makes this time series more challenging to forecast?
- The file P13_26.xlsx contains the monthly number of airline tickets sold by the CareFree Travel Agency. a. Create a time series chart of the data. Based on what you see, which of the exponential smoothing models do you think will provide the best forecasting model? Why? b. Use simple exponential smoothing to forecast these data, using a smoothing constant of 0.1. c. Repeat part b, but search for the smoothing constant that makes RMSE as small as possible. Does it make much of an improvement over the model in part b?The file P13_02.xlsx contains five years of monthly data on sales (number of units sold) for a particular company. The company suspects that except for random noise, its sales are growing by a constant percentage each month and will continue to do so for at least the near future. a. Explain briefly whether the plot of the series visually supports the companys suspicion. b. By what percentage are sales increasing each month? c. What is the MAPE for the forecast model in part b? In words, what does it measure? Considering its magnitude, does the model seem to be doing a good job? d. In words, how does the model make forecasts for future months? Specifically, given the forecast value for the last month in the data set, what simple arithmetic could you use to obtain forecasts for the next few months?The file P13_29.xlsx contains monthly time series data for total U.S. retail sales of building materials (which includes retail sales of building materials, hardware and garden supply stores, and mobile home dealers). a. Is seasonality present in these data? If so, characterize the seasonality pattern. b. Use Winters method to forecast this series with smoothing constants = = 0.1 and = 0.3. Does the forecast series seem to track the seasonal pattern well? What are your forecasts for the next 12 months?
- The file P13_27.xlsx contains yearly data on the proportion of Americans under the age of 18 living below the poverty level. a. Create a time series chart of the data. Based on what you see, which of the exponential smoothing models do you think will provide the best forecasting model? Why? b. Use simple exponential smoothing to forecast these data, using a smoothing constant of 0.1. c. Repeat part b, but search for the smoothing constant that makes RMSE as small as possible. Create a chart of the series with the forecasts superimposed from this optimal smoothing constant. Does it make much of an improvement over the model in part b? d. Write a short report to summarize your results. Considering the chart in part c, would you say the forecasts are good?The file P13_19.xlsx contains the weekly sales of a particular brand of paper towels at a supermarket for a one-year period. a. Using a span of 3, forecast the sales of this product for the next 10 weeks with the moving averages method. How well does this method with span 3 forecast the known observations in this series? b. Repeat part a with a span of 10. c. Which of these two spans appears to be more appropriate? Justify your choice.Stock market analysts are continually looking for reliable predictors of stock prices. Consider the problem of modeling the price per share of electric utility stocks (Y). Two variables thought to influence this stock price are return on average equity (X1) and annual dividend rate (X2). The stock price, returns on equity, and dividend rates on a randomly selected day for 16 electric utility stocks are provided in the file P13_15.xlsx. Estimate a multiple regression equation using the given data. Interpret each of the estimated regression coefficients. Also, interpret the standard error of estimate and the R-square value for these data.
- The file P13_25.xlsx contains the quarterly numbers of applications for home mortgage loans at a branch office of Northern Central Bank. a. Create a time series chart of the data. Based on what you see, which of the exponential smoothing models do you think will provide the best forecasting model? Why? b. Use simple exponential smoothing to forecast these data, using a smoothing constant of 0.1. c. Repeat part b, but search for the smoothing constant that makes RMSE as small as possible. Does it make much of an improvement over the model in part b? Is it guaranteed to produce better forecasts for the future?The owner of a restaurant in Bloomington, Indiana, has recorded sales data for the past 19 years. He has also recorded data on potentially relevant variables. The data are listed in the file P13_17.xlsx. a. Estimate a simple regression equation involving annual sales (the dependent variable) and the size of the population residing within 10 miles of the restaurant (the explanatory variable). Interpret R-square for this regression. b. Add another explanatory variableannual advertising expendituresto the regression equation in part a. Estimate and interpret this expanded equation. How does the R-square value for this multiple regression equation compare to that of the simple regression equation estimated in part a? Explain any difference between the two R-square values. How can you use the adjusted R-squares for a comparison of the two equations? c. Add one more explanatory variable to the multiple regression equation estimated in part b. In particular, estimate and interpret the coefficients of a multiple regression equation that includes the previous years advertising expenditure. How does the inclusion of this third explanatory variable affect the R-square, compared to the corresponding values for the equation of part b? Explain any changes in this value. What does the adjusted R-square for the new equation tell you?Under what conditions might a firm use multiple forecasting methods?