Flash City Inc. manufactures small flash drives and is considering raising the price by 75 cents a unit for the coming year. With a 75minuscent price increase, demand is expected to fall by 7,000 units. Current Projected Demand 75 comma 000 units 68 comma 000 units Selling price $ 8.75 $ 9.50 Incremental cost per unit $ 4.80 $ 4.80 If the price increase is implemented, operating profit is projected to . A. decrease by $ 5 comma 250 B. increase by $ 5 comma 250 C. increase by $ 23 comma 350 D. decrease by $ 7 comma 000

Amachine purchased three years ago for $720,000 has a current book value using straight-line depreciation of $400,000: its operating expenses are $60,000 per year. a replacement machine would cost $480,000, have a useful life of nine years, and would require $26,000 per year in operating expenses. it has an expected salvage value of $130,000 after nine years. the current disposal value of the old machine is $170,000: if it is kept 9 more years, its residual value would be $20,000. calculate the total costs in keeping the old machine and purchase a new machine. should the old machine be replaced?

Trecek corporation incurs research and development costs of $625,000 in 2017, 30 percent of which relate to development activities subsequent to ias 38 criteria having been met that indicate an intangible asset has been created. the newly developed product is brought to market in january 2018 and is expected to generate sales revenue for 10 years. assume that a u.s.–based company is issuing securities to foreign investors who require financial statements prepared in accordance with ifrs. thus, adjustments to convert from u.s. gaap to ifrs must be made. ignore income taxes. required: (a) prepare journal entries for research and development costs for the years ending december 31, 2017, and december 31, 2018, under (1) u.s. gaap and (2) ifrs. (c) prepare the entry(ies) that trecek would make on the december 31, 2017, and december 31, 2018, conversion worksheets to convert u.s. gaap balances to ifrs.

True or false: a fitted model with more predictors will necessarily have a lower training set error than a model with fewer predictors.