Sheryl connelly explains that one of the reasons her position exists is because it takes three years to bring a new vehicle to market, requiring the company to anticipate customers' needs. this is one of the reasons for the high failure rate of innovation, known as: (a) positioning strategy. (b) poor commercialization. (c) uncertain demand. (d) slow cycle times.

Exercise 8-6 goods in transit [lo8-2] the kwok company's inventory balance on december 31, 2016, was $190,000 (based on a 12/31/16 physical count) before considering the following transactions: 1. goods shipped to kwok f.o.b. destination on december 20, 2016, were received on january 4, 2017. the invoice cost was $35,000. 2. goods shipped to kwok f.o.b. shipping point on december 28, 2016, were received on january 5, 2017. the invoice cost was $22,000. 3. goods shipped from kwok to a customer f.o.b. destination on december 27, 2016, were received by the customer on january 3, 2017. the sales price was $45,000 and the merchandise cost $27,000. 4. goods shipped from kwok to a customer f.o.b. destination on december 26, 2016, were received by the customer on december 30, 2016. the sales price was $25,000 and the merchandise cost $18,000. 5. goods shipped from kwok to a customer f.o.b. shipping point on december 28, 2016, were received by the customer on january 4, 2017. the sales price was $30,000 and the merchandise cost $17,000. required: determine the correct inventory amount to be reported in kwok's 2016 balance sheet.

Acompany determined that the budgeted cost of producing a product is $30 per unit. on june 1, there were 80,000 units on hand, the sales department budgeted sales of 300,000 units in june, and the company desires to have 120,000 units on hand on june 30. the budgeted cost of goods sold for june would be

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)? $