The Sports Equipment Division of Harrington Company is operated as a profit center. Sales for the division were budgeted for 2017 at $893,450. The only variable costs budgeted for the division were cost of goods sold ($443,980) and selling and administrative ($61,920). Fixed costs were budgeted at $100,410 for cost of goods sold, $90,930 for selling and administrative, and $74,480 for noncontrollable fixed costs. Actual results for these items were: Sales $881,840 Cost of goods sold Variable 415,370 Fixed 104,160 Selling and administrative Variable 65,700 Fixed 71,330 Noncontrollable fixed 89,550 Collapse question part (a) Prepare a responsibility report for the Sports Equipment Division for 2017.

In 2018, laureen is currently single. she paid $2,800 of qualified tuition and related expenses for each of her twin daughters sheri and meri to attend state university as freshmen ($2,800 each for a total of $5,600). sheri and meri qualify as laureen’s dependents. laureen also paid $1,900 for her son ryan’s (also laureen’s dependent) tuition and related expenses to attend his junior year at state university. finally, laureen paid $1,200 for herself to attend seminars at a community college to her improve her job skills.what is the maximum amount of education credits laureen can claim for these expenditures in each of the following alternative scenarios? a. laureen's agi is $45,000.b. laureen’s agi is $95,000.c. laureen’s agi is $45,000 and laureen paid $12,000 (not $1,900) for ryan to attend graduate school (i.e, his fifth year, not his junior year).

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?

Investors who put their own money into a startup are known as a. mannequins b. obligators c. angels d. borrowers