The management of Wengel Corporation is considering dropping product B90D. Data from the company's accounting system appear below: Sales $ 740,700 Variable expenses $ 384,800 Fixed manufacturing expenses $ 252,000 Fixed selling and administrative expenses $ 215,000 All fixed expenses of the company are fully allocated to products in the company's accounting system. Further investigation has revealed that $178,000 of the fixed manufacturing expenses and $154,300 of the fixed selling and administrative expenses are avoidable if product B90D is discontinued. Required: What would be the financial advantage (disadvantage) of dropping B90D? Should the product be dropped?

Martinez company has the following two temporary differences between its income tax expense and income taxes payable. 2017 2018 2019 pretax financial income $873,000 $866,000 $947,000 (2017' 2018, 2019) excess depreciation expense on tax return (29,400 ) (39,000 ) (9,600 ) (2017' 2018, 2019) excess warranty expense in financial income 20,000 9,900 8,300 (2017' 2018, 2019) taxable income $863,600 $836,900 $945,700(2017' 2018, 2019) the income tax rate for all years is 40%. instructions: a. prepare the journal entry to record income tax expense, deferred income taxes, and income taxes payable for 2017, 2018, and 2019. b. assuming there were no temporary differences prior to 2016, indicate how deferred taxes will be reported on the 2016 balance sheet. button's warranty is for 12 months. c. prepare the income tax expense section of the income statement for 2017, beginning with the line, "pretax financial income."

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?

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