Describe markings on a road that indicate that it is safe to pass. (what type and color of marking)

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)? $

The following accounts are from last year’s books at s manufacturing: raw materials bal 0 (b) 157,400 (a) 172,500 15,100 work in process bal 0 (f) 523,600 (b) 133,700 (c) 171,400 (e) 218,500 0 finished goods bal 0 (g) 477,000 (f) 523,600 46,600 manufacturing overhead (b) 23,700 (e) 218,500 (c) 27,700 (d) 159,400 7,700 cost of goods sold (g) 477,000 s manufacturing uses job-order costing and applies manufacturing overhead to jobs based on direct labor costs. what is the amount of cost of goods manufactured for the year

How much more output does the $18 trillion u.s. economy produce when gdp increases by 3.0 percen?