The boot department at the omaha department store is being considered for closure. the following information relates to boot activity: sales revenue $352,000 variable costs: cost of goods sold 282,000 sales commissions 32,000 fixed operating costs 92,000 if 80% of the fixed operating costs are avoidable, should the boot department be closed? a. yes, omaha would be better off by $35,600. b. yes, omaha would be better off by $54,000. c. no, omaha would be worse off by $19,600. d. no, omaha would be worse off by $38,000 e. none of the answers is correct.

What are the forecasted levels of the line of credit and special dividends? (hints: create a column showing the ratios for the current year; then create a new column showing the ratios used in the forecast. also, create a preliminary forecast that doesn’t include any new line of credit or special dividends. identify the financing deficit or surplus in this preliminary forecast and then add a new column that shows the final forecast that includes any new line of credit or special dividend.) now assume that the growth in sales is only 3%. what are the forecasted levels of the line of credit and special dividends?

Gdonald was unhappy that his company did not provide good transport facilities. he found it very strenuous to drive to work on his own, and this eventually led to job dissatisfaction. hence, he recommended ways to solve this problem. according to the evln model, this information suggests that donald's main reaction to job dissatisfaction was:

Total marketing effort is a term used to describe the critical decision factors that affect demand: price, advertising, distribution, and product quality. define the variable x to represent total marketing effort. a typical model that is used to predict demand as a function of total marketing effort is based on the power function: d = axb suppose that a is a positive number. different model forms result from varying the constant b. sketch the graphs of this model for b = 0, b = 1, 0< b< 1, b< 0, and b> 1. (we encourage you to use excel to do this.) what does each model tell you about the relationship between demand and marketing effort? what assumptions are implied? are they reasonable? how would you go about selecting the appropriate model?