At taylor activewear, orders have significantly exceeded projections, and macon, the operations director, has decided to hire for a third shift in the plant. macon is clearly operating with the use of a(n) budget.

Astock with a beta of 0.6 has an expected rate of return of 13%. if the market return this year turns out to be 10 percentage points below expectations, what is your best guess as to the rate of return on the stock? (do not round intermediate calculations. enter your answer as a percent rounded to 1 decimal place.)

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)? $

Wallace company provides the following data for next year: month budgeted sales january $120,000 february 108,000 march 140,000 april 147,000 the gross profit rate is 35% of sales. inventory at the end of december is $29,600 and target ending inventory levels are 10% of next month's sales, stated at cost. what is the amount of purchases budgeted for january?