Time series analysis is often used to: A. reflect performance relative to some norm B. assess developing trends C. correct errors of judgment D. standardize results
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Time series analysis is often used to:
| A. |
reflect performance relative to some norm |
|
| B. |
assess developing trends |
|
| C. |
correct errors of judgment |
|
| D. |
standardize results |
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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?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.If Mr. Ishaq is the Director of Lexus Company in Nizwa, what does he need to do to predict customer sales or product demand? a. Forecasting b. Marketing c. Production d. Coordination
- 5. it is a tool that allows managers to make educated estimates on revenue and cost of the business in order to cope with uncertainties of the future a.estimating b. guesing c. forecasting d. benchmarkingBusiness analytics concepts a) Data used in business analytics need to be reliable and valid. Explain your opinion on the statement and provide practical examples to support your answer. b) What are the similarities and differences between correlation analysis and regression analysis? c) What types of measurements can be used to measure the central tendency of the data? Please compare the advantages and disadvantages between these measurements.For this final assignment I’d like you to call upon your knowledge of forecasting to help project your firm’s revenue stream for the upcoming year. In the Microsoft Excel that is attached to this assignment, you will find the past four years of quarterly revenue data for your nonprofit. Your revenue comes from two major sources: individual donations and donations from corporations. I’d like you to use the past four years’ worth of data to forecast the individual donations and donations for corporations for the next fiscal year (year 5 quarters 1-4). Once you have forecasted both individual revenue streams you can simply add them together to get your overall revenue forecast for the next fiscal year. Please discuss what forecasting method you chose and how you made your decision. You can do this in your excel document or write up a separate paragraph or two in a Microsoft Word document.
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