Arlos Consulting Inc. provides financial consulting and has collected the following data for the next year’s budgeted activity for a lead consultant. Consultants’ wages $90,000 Fringe benefits $22,500 Related overhead $17,500 Supply clerk’s wages $18,000 Fringe benefits $4,000 Related overhead $20,000 Profit margin per hour $20 Profit margin on materials 15% Total estimated consulting hours 5,000 Total estimated material costs $168,000 A consulting job takes 20 hours of consulting time and $180 of materials. The client’s bill would be

American gas products manufactures a device called a can-emitor that empties the contents of old aerosol cans in 2 to 3 seconds. this eliminates having to dispose of the cans as hazardous wastes. if a certain paint company can save $75,000 per year in waste disposal costs, how much could the company afford to spend now on the can-emitor if it wants to recover its investment in 3 years at an interest rate of 20% per year?

1. the healthy pantry bought new shelving and financed $7,300 with 36 monthly payments of $267.65 each. suppose the firm pays the loan off with 13 payments left. use the rule of 78 to find the amount of unearned interest. 2. the healthy pantry bought new shelving and financed $7,300 with 36 monthly payments of $267.65 each. suppose the firm pays the loan off with 13 payments left. use the rule of 78 to find the amount necessary to pay off the loan. ! i entered 967.82 for question 1 and 5,455.78 for question 2 and it said it was

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)? $