Research has indicated that customer satisfaction and employee productivity are higher when the racio-ethnic composition of the customers matched that of store employees.

On january 1, 2018, red flash photography had the following balances: cash, $19,000; supplies, $8,700; land, $67,000; deferred revenue, $5,700; common stock $57,000; and retained earnings, $32,000. during 2018, the company had the following transactions: 1. february 15 issue additional shares of common stock, $27,000. 2. may 20 provide services to customers for cash, $42,000, and on account, $37,000. 3. august 31 pay salaries to employees for work in 2018, $30,000. 4. october 1 purchase rental space for one year, $19,000. 5. november 17 purchase supplies on account, $29,000. 6. december 30 pay dividends, $2,700. the following information is available on december 31, 2018: 1. employees are owed an additional $4,700 in salaries. 2. three months of the rental space has expired. 3. supplies of $5,700 remain on hand. 4. all of the services associated with the beginning deferred revenue have been performed.required: 1. record the transactions that occurred during the year.2. record the adjusting entries at the end of the year.3. prepare an adjusted trial balance.4. prepare an income statement, statement of stockholders’ equity, and classified balance sheet.5. prepare closing entries.

Georgia's gross pay was 35,600 this year she is to pay a federal income tax of 16% how much should georgia pay in federal income ax this year

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)? $