Concept explainers
Interpretation:Finding the reasons for choosing of first technique rather than others for future if one
Concept Introduction:Forecasting refers to future event anticipation process and forecast can be done by numerous methods depending upon past performance of the entity which is in similar operation. There by forecast is result of calculation made with available information of the operation.
Explanation of Solution
Result of past accuracy forecasting techniques are the main causes in preferred forecasting techniques by the organization and new techniques are preferred for enhanced accuracywhen there are changes in variables of forecasting.
Forecasting is a comprehensive process of evaluating future awkward situation of unpredictable future as it will be up to an extent. They are used in anticipating the future situation of the organization. Generally accuracy of forecasting technique depends upon correctness of such technique in the past.
It leads easy forecasting by analysts but not necessary as new techniques are preferred for enhanced accuracy. It greatly impacts when there are changes in variables of forecasting.
This changes variables leads to changes in forecasting techniques for an entity. So, based upon result of past accuracy forecasting techniques are the main causes in preferred forecasting techniques by the organization.
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Chapter 4 Solutions
Practical Operations Management
- The Baker Company wants to develop a budget to predict how overhead costs vary with activity levels. Management is trying to decide whether direct labor hours (DLH) or units produced is the better measure of activity for the firm. Monthly data for the preceding 24 months appear in the file P13_40.xlsx. Use regression analysis to determine which measure, DLH or Units (or both), should be used for the budget. How would the regression equation be used to obtain the budget for the firms overhead costs?arrow_forwardThe 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?arrow_forwardThe 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.arrow_forward
- What forecasting tool is most appropriate when closely working with customers dependent on your products?arrow_forwardWhat are the basic assumptions made when using time series forecasting techniques as opposed to causal techniques?arrow_forwardWhen should time series forecasting techniques be used?arrow_forward
- Practical Management ScienceOperations ManagementISBN:9781337406659Author:WINSTON, Wayne L.Publisher:Cengage,Contemporary MarketingMarketingISBN:9780357033777Author:Louis E. Boone, David L. KurtzPublisher:Cengage LearningMarketingMarketingISBN:9780357033791Author:Pride, William MPublisher:South Western Educational Publishing