Chee, single, age 40, had the following income and expenses during 2020: Income Salary $43,000
Rental of vacation home (rented 60 days, used personally 60 days, vacant 245 days) 4,000
Municipal bond interest 2,000
Dividend from General Electric 400
Expenses Interest on home mortgage 8,400
Interest on vacation home 4,758
Interest on loan used to buy municipal bonds 3,100
Property tax on home 2,200
Property tax on vacation home 1,098
State income tax 3,300
State sales tax 900
Charitable contributions 1,100
Tax return preparation fee 300
Utilities and maintenance on vacation home 2600
Depreciation on rental 50% of vacation home 3.500

Required:
Calculate Chee's net income from the vacation home, itemized deductions and taxable income for the year.

Theodore is researching computer programming he thinks that this career has a great employment outlook so he’d like to learn if it’s a career in which he would excel what to skills are important for him to have and becoming a successful computer programmer

Self-interest achieve society’s economic goals because producers know which goods consumers want the most. as consumers and producers exercise their freedom to act in their own self-interest, markets will produce the desired goods at the lowest possible cost. consumers and producers both operate based on society’s economic goals. consumers know which goods can be produced at the lowest cost. there is a wide variety of desired goods and services in a market system because producers determine what to produce. consumers change their minds frequently. there is always a need to produce something new and improved. individual wants are diverse. what is produced is ultimately determined by consumers, because if the goods offered are not what consumers want, consumers will not buy them. producers, because they are driven by profits. producers, because they determine what to produce. consumers, because they participate in marketing surveys.

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)? $