Identify the type of business writing for each description.

An important application of regression analysis in accounting is in the estimation of cost. by collecting data on volume and cost and using the least squares method to develop an estimated regression equation relating volume and cost, an accountant can estimate the cost associated with a particular manufacturing volume. consider the following sample of production volumes and total cost data for a manufacturing operation. production volume (units) total cost ($) 400 4000 450 5000 550 5400 600 5900 700 6400 750 7000 compute b 1 and b 0 (to 2 decimals if necessary). b 1 b 0 complete the estimated regression equation (to 2 decimals if necessary). = + x what is the variable cost per unit produced (to 1 decimal)? $ compute the coefficient of determination (to 4 decimals). note: report r 2 between 0 and 1. r 2 = what percentage of the variation in total cost can be explained by the production volume (to 2 decimals)? % the company's production schedule shows 500 units must be produced next month. what is the estimated total cost for this operation (to 2 decimals)? $

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.

Why is it easier for new entrants to get involved in radical innovations when compared to incumbent firms? a. unlike incumbent firms, new entrants do not have to face the high entry barriers, initially. b. new entrants are embedded in an innovation ecosystem, while incumbent firms are not. c. unlike incumbent firms, new entrants do not have formal organizational structures and processes. d. incumbent firms do not have the advantages of network effects that new entrants have.