A company is considering the purchase of a new machine for $49,000. Management predicts that the machine can produce sales of $16,100 each year for the next 10 years. Expenses are expected to include direct materials, direct labor, and factory overhead totaling $7,900 per year including depreciation of $4,100 per year. Income tax expense is $3,280 per year based on a tax rate of 40%. What is the payback period for the new machine?

Jamie lee is reviewing her finances one month later. she has provided the actual amounts paid below. use the cash budget table below to her identify the variances in her budget. each answer must have a value for the assignment to be complete. enter "0" for any unused categories. actual amounts income: monthly expenses: gross monthly salary $2,315 rent obligation $260 net monthly salary $1,740 utilities/electricity $130 savings allocation: utilities/water $10 regular savings $130 utilities/cable tv $155 rainy-day savings $20 food $160 entertainment: gas/maintenance $205 cake decorating class $90 credit card payment $25 movies with friends $50 car insurance $75 clothing $145 budgeted amounts assets: monthly expenses: checking account $1,850 rent obligation $225 emergency fund savings account $4,300 utilities/electricity $75 car $5,200 utilities/water $35 computer & ipad $1,100 utilities/cable tv $120 liabilities: food $115 student loan $6,600 gas/maintenance $95 credit card balance $1,000 credit card payment $45 income: car insurance $45 gross monthly salary $2,155 clothing $45 net monthly salary $1,580 entertainment: savings allocation: cake decorating class $90 regular savings $130 movies with friends $50 rainy day savings $20

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)? $

You decided to charge $100 for your new computer game, but people are not buying it. what could you do to encourage people to buy your game?