The dean of the business school at a small florida college wishes to determine whether the grade-point average (gpa) of a graduating student can be used to predict the graduate's starting salary. more specifically, the dean wants to know whether higher gpas lead to higher starting salaries. records for 23 of last year's business school graduates are selected at random, and data on gpa (x) and starting salary y (in $thousands) for each graduate were used to fit the model e(y)equalsbeta 0plusbeta 1x. the results of the simple linear regression are provided below. calculate the value of r squared, the coefficient of determination. modifyingabove y with caretequals4.25plus2.75x, sssubscript xyequals5.15, sssubscript xxequals1.87 ssyyequals15.17, sseequals1.0075

a. 0.872

b. 0.339

c. 0.934

d. 0.661

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.

The following information relates to the pina company. date ending inventory price (end-of-year prices) index december 31, 2013 $73,700 100 december 31, 2014 100,092 114 december 31, 2015 107,856 126 december 31, 2016 123,009 131 december 31, 2017 113,288 136 use the dollar-value lifo method to compute the ending inventory for pina company for 2013 through 2017.

The following accounts are from last year’s books at s manufacturing: raw materials bal 0 (b) 157,400 (a) 172,500 15,100 work in process bal 0 (f) 523,600 (b) 133,700 (c) 171,400 (e) 218,500 0 finished goods bal 0 (g) 477,000 (f) 523,600 46,600 manufacturing overhead (b) 23,700 (e) 218,500 (c) 27,700 (d) 159,400 7,700 cost of goods sold (g) 477,000 s manufacturing uses job-order costing and applies manufacturing overhead to jobs based on direct labor costs. what is the amount of cost of goods manufactured for the year