Predict how much money can be saved without having a negative actual net income. monthly budget budgeted amount actual amount income wages savings interest $1150 $25 $900 $25 expenses rent utilities food cell phone savings $400 $100 $250 $75 $200 $400 $80 $200 $75 $ net income $150 $

Match the given situations to the type of risks that a business may face while taking credit.(there's not just one answer)1. beta ltd. had taken a loan from a bankfor a period of 15 years, but its salesare gradually showing a decline.2. alpha ltd. has taken a loan for increasing its production and sales,but it has not conducted any researchbefore making this decision.3. delphi ltd. has an overseas client. the economy of the client’s country is going through severe recession.4. delphi ltd. has taken a short-term loanfrom the bank, but its supply chain logistics are not in place.a. foreign exchange riskb. operational riskc. term of loan riskd. revenue projections risk

Ireally need with these questions.6. what level of job security do athletes and sports competitors have? why do you think this is? 22. do you think a musician has more job security than an athlete? explain.37. what is the difference between a public relations specialist and a marketing professional? 47. do you think gender inequalities still exist in the sports industry? explain.50. what are the advantages and disadvantages of labor unions? do you think labor unions are fair to employers? how might they be taken advantage of?

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)? $