Evaluating your data involves examining it in terms of reliability, relevance, expertise, adaptability, and biases. a. True
b. False

Easel manufacturing budgeted fixed overhead costs of $ 1.50 per unit at an anticipated production level of 1 comma 350 units. in july easel incurred actual fixed overhead costs of $ 4 comma 700 and actually produced 1 comma 300 units. what is easel's fixed overhead budget variance for july?

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)? $

Rossdale co. stock currently sells for $68.91 per share and has a beta of 0.88. the market risk premium is 7.10 percent and the risk-free rate is 2.91 percent annually. the company just paid a dividend of $3.57 per share, which it has pledged to increase at an annual rate of 3.25 percent indefinitely. what is your best estimate of the company's cost of equity?