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choose:
Any attribute of interest on which data are
collected and analysed:
1. Statistics
2. ordinal scale data
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- 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?Using Table 5.3, choose the appropriate survey method(s) you would use to collect primary data for one of your information needs. What sampling method would you use?please answer 2nd question Please compare/contrast two organizations in North America (Canada/USA) based on the following: Evaluation Criteria's: 1. Describe what area(s) of data cabling they focus on and why 2. What areas of the World do they operate in and describe a project they've undertaken or are currently working on
- . What are the advantages and disadvantages of Regression Model, Econometric Model, Driving Indicator Models?Which of the following are characteristics of qualitative forecasting methods? |- It is a function of past data || – Non-numerical data III – Useful when past data is available IV – Based on a broad range of knowledge, personal judgment, and intuition OI and III O Il and IV O1, II, and III O II, III, and IVWhat is producivity analysis? What is prescriptive data analytic model? How are the two related or how are they different? Give example of each.
- 1. Give a specific example and scenario in Hospitality Industry that we can apply the Data Analysis Cycle. Identify the Problem Identify Available Data Sources Identify if Additional Data Sources are needed Statistical Analysis Implementation and Development Communicate Results MaintenanceContrast the planning approach when dealing with data certainty verses uncertaintyIdentify and discuss the advantages and disadvantages of using existing data for secondary data analysis. Provide at least one example for each. In your opinion, do you think the advantages outweigh the disadvantages? Why or why not?
