Questions
In October of the current year, Jasmine received a $15,520 payment from a client for 32...

In October of the current year, Jasmine received a $15,520 payment from a client for 32 months of rent. The rental period begins on September 1 of this year. This amounts to $485 per month. Jasmine is a calendar-year taxpayer. What amount of the $15,520 payment, if any, must Jasmine recognize this year if she uses the accrual method of accounting?

In: Accounting

Canberra acquired all of the equity shares in Yass on 1 October 2019, for consideration of...

Canberra acquired all of the equity shares in Yass on 1 October 2019, for consideration of $2,150 million. The carrying amount of identifiable net assets at acquisition was $2,130 million, which was the same as the fair value. Canberra is actively selling its entire shareholding in Yass as a single transaction and has classified the investment as a disposal group held for sale, in accordance with IFRS 5 Non-current Assets Held for Sale and Discontinued Operations, for the year ended 30 September 2020. The carrying amounts of the net assets of Yass in the individual financial statements of Canberra at 30 September 2020, before classification as held for sale, were ($ million):

Canberra measures properties at fair value, in accordance with IAS 16 Property, Plant and Equipment. No revaluations had been recognised on acquisition, when the estimated fair values were substantially the same as the carrying amounts. Properties with a carrying amount of $630 million were revalued to fair value of $680 million, at 30 September 2020. This fair value change has not been recognised in the financial statements. The total fair value less costs to sell of the disposal group was estimated as $2,140 million, at 30 September 2020. No impairments had been recognised previously, to the goodwill of Yass.

Yass owns and operates private hospitals and the medical sector is highly regulated. Canberra is confident that the sale of Yass will be agreed shortly after 30 September 2020. Any purchaser will require regulatory approval, which could delay completion of the sale until after 30 September 2021. Regulatory approval cannot be sought by a purchaser until a contract of sale had been agreed. Yass will continue to operate the hospitals until the sale is completed. Canberra will sell all of the shares in Yass to the purchaser, who would obtain all of Yass’s rights and obligations. Yass does not intend to sell or acquire any significant assets or liabilities prior to completion of the sale, as that would affect the value of the shares being sold.

Required:

Discuss the correct recognition and measurement of the investment in Yass in the consolidated financial statements, for the year ended 30 September 2020. Provide calculations.                 

In: Accounting

The bank statement of Green’s Floral shows a final balance of $8,966 as of October 3...

  1. The bank statement of Green’s Floral shows a final balance of $8,966 as of October 3 The present balance of the cash account in the ledger, after Green’s accountant has posted from the journal, is $8,030.50. The accountant took the following steps: 1) Verified that canceled checks were recorded correctly on the bank statement. 2) Discovered that a deposit of $1,003 made on Oct 31 was not recorded on the bank statement. 3) Noted outstanding checks: no. 1916, $461; no. 2022, $119; no. 2023, $827; no. 2024, $67. 4) Noted that a credit memo for a note collected by the bank from Lee and Brock, $600 principle plus $6 interest, was not recorded in the journal. 5) Found that check no. 2001 for $523 payable to Davis, Inc., on account, was recorded in the journal as $532. (The correct amount is $523.) 6) Noted that a debit memo for a collection charge and service charge of $5.50 was not recorded in the journal. 7) Noted that a debit memo for an NSF check for $125 from M.D. Scott was not recorded. 8) Noted that a $20 monthly bank fee, was not recorded.

How much cash does Green’s Floral have at the end of October. You must support your answer. Journalize any and all necessary journal entries.

In: Accounting

Buckeye Creek Amusement Park is open from the beginning of May to the end of October....

Buckeye Creek Amusement Park is open from the beginning of May to the end of October. Buckeye Creek relies heavily on the sale of season passes. The sale of season passes brings in significant revenue prior to the park opening each season, and season pass holders contribute a substantial portion of the food, beverage, and novelty sales in the park. Greg Ross, director of marketing at Buckeye Creek, has been asked to develop a targeted marketing campaign to increase season pass sales. Greg has data for last season that show the number of season pass holders for each zip code within 50 miles of Buckeye Creek. he has also obtained the total population of each zip code from the U.S. Census bureau website. Greg thinks it may be possible to use regression analysis to predict the number of season pass holders in a zip code given the total population of a zip code. If this is possible, he could then conduct a direct mail campaign that would target zip codes that have fewer than the expected number of season pass holders.

1. Did the estimated regression equation provide a good fit?

2. Use residual analysis to determine whether the assumed regression model is appropriate.

3. Discuss if/how the estimated regression equation should be used to guide the marketing campaign.

4. What other data might be useful to predict the number of season pass holders in a zip code?

ZIP Code

Population Season Pass Holders
45220 14171 224
45219 17576 42
45225 13437 15
45217 5731 78
45214 9952 19
45232 6913 28
45223 13349 83
45229 15713 75
45206 11353 69
45202 15105 83
45203 3411 9
45207 8233 8
41074 5566 36
41073 6193 63
45224 21043 207
41071 21596 133
45205 21683 102
45204 6642 36
41016 5603 42
45216 9028 55
45212 22356 207
41011 25849 193
41014 7913 41
45237 21137 86
45208 18236 424
45211 33968 342
45239 26485 269
41075 15868 236
45209 8941 111
45226 5029 84
45238 42737 564
45231 39939 361
45213 11683 153
45215 28915 308
45218 3917 54
41017 40218 493
41076 14779 176
45251 22887 205
45227 18431 215
45247 20372 357
41015 22298 189
45248 22880 380
45236 21823 310
45240 27033 142
45246 13522 100
45230 25763 423
45233 14175 244
45252 4799 58
41018 29001 244
45243 14755 303
45241 25623 299
45014 44178 307
45242 20015 377
45244 26316 448
41059 2266 22
41048 12597 214
41051 18730 323
45255 22552 307
45174 2072 52
41042 50429 440
45002 13298 184
45015 12504 47
45069 46264 561
45052 3770 52
45249 13432 154
41001 16982 164
41005 20892 209
45011 62303 496
45245 17701 189
41091 17372 226
45013 51730 286
45150 31179 316
41094 9748 106
45030 16386 192
45140 52874 657
41063 3662 19
45040 51183 549
45102 22009 217
45039 21398 278
41007 3215 26
45053 3441 25
45157 10312 72
45050 6988 80
41080 2114 11
45067 12507 62
45034 1227 11
45103 29874 267
47025 21986 154
45044 49621 322
41030 7280 35
41092 3198 18
45065 5194 35
41033 1712 11
47060 6910 38
41006 4835 19
45122 12550 59
45042 28821 91
45056 28811 88
45036 36066 225
45064 2376 9
47040 5242 10
45153 2132 10
45152 9686 101
47022 2740 17
47001 10370 36
45162 2900 11
45005 31944 93
41035 9671 54
45106 12675 61
45176 8485 47
45311 7381 10
41043 2968 7
45327 7961 13
41040 7249 14
45066 23119 129
41097 6854 22
45054 1730 12
41095 4218 11
45120 3774 20
45342 31929 55
47032 3628 10
45107 9608 40
47012 10579 23
45130 4202 17
45118 4239 23
41086 1602 5
47018 4435 12
45458 26281 75
45449 19237 15
45068 11293 28
47041 5544 18
45113 4118 16
45154 8093 41
45320 15282 8
45459 26744 39
47031 5179 12
41004 4311 9
41003 2397 5
41010 3321 5
41002 2104 6
45429 25537 39
45305 11159 16
45409 13554 9
45419 15782 33
45121 8919 26
45440 19463 25
45420 24393 20
45410 17025 7
45430 7137 7
45403 16794 8
45142 4973 10

In: Statistics and Probability

Investment analysts at a leading investment bank reported in October 2002 that the revenues of Reuters...

Investment analysts at a leading investment bank reported in October 2002 that the revenues of Reuters had slumped in the third quarter of its financial year, that recovery was still some way off and that the company would be reporting poor third quarter results in the following week. The company had already launched a restructuring plan, involving a large cut in the workforce to restore profit margins on sales of its information terminals.

(Reported New York Times, November 2002)

Required:

Discuss and explain how do you think the analysts' report might affect the relationship between the company and its investors?


In: Accounting

Problem 1: The bank reconciliation for Weez Ltd as at 31 October 2017 was as follows....

Problem 1:

The bank reconciliation for Weez Ltd as at 31 October 2017 was as follows.

WEEZ Ltd

Bank Reconciliation

31 October 2017

Cash balance per bank

Add: Deposits in transit

$

12 444.70

  1 530.20

13 974.90

Less: Outstanding cheques

Cheque number

Cheque amount

2451

2470

2471

2472

2474

$

1 260.40

720.10

844.50

503.60

1 050.00

4 378.60

Cash balance per the General Ledger

$

9 596.30

The November bank statement had a balance of $17 069.40 and revealed the following cheques and deposits:

Bank statement

Cheques

Deposits

Date

Cheque number

Amount

Date

Amount

1/11

2/11

5/11

4/11

8/11

10/11

15/11

18/11

27/11

30/11

29/11

2470

2471

2474

2475

2476

2477

2479

2480

2481

2483

2486

$

720.10

844.50

1 050.00

1 640.70

2 830.00

600.00

1 750.00

1 330.00

695.40

575.50

   900.00

1/11

4/11

8/11

13/11

18/11

21/11

25/11

28/11

30/11

$

1 530.20

1 211.60

990.10

2 575.00

1 472.70

2 945.00

2 567.30

1 650.00

  1 186.00

Total

$

16 127.90

Total

$

12 936.20

The cash records for Weez Ltd for November showed a general ledger balance of $10 846.90 and the following summaries of cash payments and receipts:

Date

Cheque number

Amount

Date

Cheque number

Amount

1/11

2/11

2/11

4/11

8/11

10/11

15/11

18/11

2475

2476

2477

2478

2479

2480

2481

2482

$

1 640.70

2 830.00

600.00

538.20

1 570.00

1 330.00

695.40

612.00

20/11

22/11

23/11

24/11

29/11

30/11

2483

2484

2485

2486

2487

2488

$ 575.50

829.50

974.80

900.00

398.00

  1 200.00

Total

$ 14 694.10

Date

Amount

3/11

7/11

12/11

17/11

20/11

24/11

27/11

29/11

30/11

$ 1 211.60

990.10

2 575.00

1 472.70

2 954.00

2 567.30

1 650.00

1 186.00

  1 338.00

Total

15 944.70

Additional Information:

The bank statement contained the following direct debit and credit memoranda:

A credit of $1 505.00 for the collection of a $1 400 note for Weez Ltd plus interest of $120 and less a collection fee of $15. On October 31, 2017, with an adjusting journal entry, Weez Ltd had accrued $100 interest on the note.

A debit for the printing of additional company cheques $72.00.

A debit for an NSF cheque for $130. The company immediately called the customer and was assured that the cheque would now clear. As a result, the cheque was redeposited on 30/11 and is included in the $1 338.00 Cash Receipts above.  

Cheque #2479 was a cash payment for equipment. The company’s records are correct.

The cash receipt dated 20/11 was from a large cash sale of merchandise. The company’s records are incorrect.

Required:

(a)     In the general journal, prepare the required entries based on your review of the above data. Assume immediate posting of these journal entries, as well as the updating of the Cash GL account—you are not required to prepare the posting. Ignore GST.

(b)     Prepare a bank reconciliation as at 30 November, beginning with Balance per Bank Statement.

In: Accounting

On October 17, 2007, the classified ads on the web site of The Seattle Times listed...

On October 17, 2007, the classified ads on the web site of The Seattle Times listed the following 13 used Toyota Prius automobiles for sale; the data set below shows the year, color, mileage (in miles) and asking price (in U.S. dollars) for each car:

year     color      mileage     price
2006     green        17043     25995
2007     gray         12628     24980
2005     maroon       24039     24885
2005     silver       48226     23995
2006     black        10522     22995
2004     silver       66345     21995
2007     white         5611     21995
2005     gold         24479     21595
2004     white        14618     20995
2005     silver       53699     20980
2004     silver       47649     17995
2003     white        39600     17500
2005     black       103126     16995

We wish to investigate a possible association between the mileageof each Prius and its price. You should construct a scatterplot of this data.

assume that a linear model is appropriate, regardless of your answer to the previous question.

1. Find the equation of the regression line for this data that predicts price based upon mileage:

2. Use the model to predict the asking price of a Toyota Prius with 450,000 miles, or explain why such a prediction is not appropriate:

3. Use the model to predict the asking price of a Toyota Prius with 45,000 miles, or explain why such a prediction is not appropriate:

4. Compute the residual for the green Prius:

In: Statistics and Probability

Buckeye Creek Amusement Park is open from the beginning of May to the end of October....

Buckeye Creek Amusement Park is open from the beginning of May to the end of October. Buckeye Creek relies heavily on the sale of season passes. The sale of season passes brings in significant revenue prior to the park opening each season, and season pass holders con- tribute a substantial portion of the food, beverage, and novelty sales in the park. Greg Ross, director of marketing at Buckeye Creek, has been asked to develop a targeted marketing campaign to increase season pass sales. Greg has data for last season that show the number of season pass holders for each zip code within 50 miles of Buckeye Creek. he has also obtained the total population of each zip code from the U.S. Census bureau website. Greg thinks it may be possible to use regression analysis to predict the number of season pass holders in a zip code given the total population of a zip code. If this is possible, he could then conduct a direct mail campaign that would target zip codes that have fewer than the expected number of season pass holders. *I only need help with #5,6,7 thank you

Managerial Report

1. Compute descriptive statistics and construct a scatter diagram for the data. Discuss your findings.

2. Using simple linear regression, develop an estimated regression equation that could be used to predict the number of season pass holders in a zip code given the total population of the zip code.

3. Test for a significant relationship at the .05 level of significance.

4. Did the estimated regression equation provide a good fit?

5. Use residual analysis to determine whether the assumed regression model is appropriate.

6. Discuss if/how the estimated regression equation should be used to guide the marketing campaign.

7. What other data might be useful to predict the number of season pass holders in a zip code?

ZIP Code Population Season Pass Holders
45220 14171 224
45219 17576 42
45225 13437 15
45217 5731 78
45214 9952 19
45232 6913 28
45223 13349 83
45229 15713 75
45206 11353 69
45202 15105 83
45203 3411 9
45207 8233 8
41074 5566 36
41073 6193 63
45224 21043 207
41071 21596 133
45205 21683 102
45204 6642 36
41016 5603 42
45216 9028 55
45212 22356 207
41011 25849 193
41014 7913 41
45237 21137 86
45208 18236 424
45211 33968 342
45239 26485 269
41075 15868 236
45209 8941 111
45226 5029 84
45238 42737 564
45231 39939 361
45213 11683 153
45215 28915 308
45218 3917 54
41017 40218 493
41076 14779 176
45251 22887 205
45227 18431 215
45247 20372 357
41015 22298 189
45248 22880 380
45236 21823 310
45240 27033 142
45246 13522 100
45230 25763 423
45233 14175 244
45252 4799 58
41018 29001 244
45243 14755 303
45241 25623 299
45014 44178 307
45242 20015 377
45244 26316 448
41059 2266 22
41048 12597 214
41051 18730 323
45255 22552 307
45174 2072 52
41042 50429 440
45002 13298 184
45015 12504 47
45069 46264 561
45052 3770 52
45249 13432 154
41001 16982 164
41005 20892 209
45011 62303 496
45245 17701 189
41091 17372 226
45013 51730 286
45150 31179 316
41094 9748 106
45030 16386 192
45140 52874 657
41063 3662 19
45040 51183 549
45102 22009 217
45039 21398 278
41007 3215 26
45053 3441 25
45157 10312 72
45050 6988 80
41080 2114 11
45067 12507 62
45034 1227 11
45103 29874 267
47025 21986 154
45044 49621 322
41030 7280 35
41092 3198 18
45065 5194 35
41033 1712 11
47060 6910 38
41006 4835 19
45122 12550 59
45042 28821 91
45056 28811 88
45036 36066 225
45064 2376 9
47040 5242 10
45153 2132 10
45152 9686 101
47022 2740 17
47001 10370 36
45162 2900 11
45005 31944 93
41035 9671 54
45106 12675 61
45176 8485 47
45311 7381 10
41043 2968 7
45327 7961 13
41040 7249 14
45066 23119 129
41097 6854 22
45054 1730 12
41095 4218 11
45120 3774 20
45342 31929 55
47032 3628 10
45107 9608 40
47012 10579 23
45130 4202 17
45118 4239 23
41086 1602 5
47018 4435 12
45458 26281 75
45449 19237 15
45068 11293 28
47041 5544 18
45113 4118 16
45154 8093 41
45320 15282 8
45459 26744 39
47031 5179 12
41004 4311 9
41003 2397 5
41010 3321 5
41002 2104 6
45429 25537 39
45305 11159 16
45409 13554 9
45419 15782 33
45121 8919 26
45440 19463 25
45420 24393 20
45410 17025 7
45430 7137 7
45403 16794 8
45142 4973 10

In: Statistics and Probability

Muggsy Bogues Company purchased equipment for $280,350 on October 1, 2014. It is estimated that the...

Muggsy Bogues Company purchased equipment for $280,350 on October 1, 2014. It is estimated that the equipment will have a useful life of 8 years and a salvage value of $21,000. Estimated production is 39,900 units and estimated working hours are 20,500. During 2014, Bogues uses the equipment for 520 hours and the equipment produces 1,000 units. Compute depreciation expense under each of the following methods. Bogues is on a calendar-year basis ending December 31.

(a) Straight-line method for 2014 (Round answer to 0 decimal places, e.g. 45,892.) $

(b) Activity method (units of output) for 2014 (Round rate per unit to 2 decimal places, e.g. 5.35 and final answer to 0 decimal places, e.g. 45,892.) $

(c) Activity method (working hours) for 2014 (Round rate per hour to 2 decimal places, e.g. 5.35 and final answer to 0 decimal places, e.g. 45,892.) $

(d) Sum-of-the-years'-digits method for 2016 (Round answer to 0 decimal places, e.g. 45,892.) $

(e) Double-declining-balance method for 2015 (Round answer to 0 decimal places, e.g. 45,892.) $

In: Accounting

Jose, age 70 and ½ in October of this year, worked for several companies over his...

Jose, age 70 and ½ in October of this year, worked for several companies over his lifetime. He has worked for the following companies (A – E), and still has the following qualified plan account balances at those companies. Jose is currently employed with Company E. What is his required minimum distribution for the current year from all plans? Life expectancy tables are 27.4 for age 70 and 26.5 for age 71.

company Jose' account balance
A $250,000
B $350,000
C $150,000
D $350,000
e $200,000

In: Finance