Questions
For the data below: Year Automobile Sales Year Automobile Sales 1990 116 1997 119 1991 105...

For the data below:

Year

Automobile Sales

Year

Automobile Sales

1990

116

1997

119

1991

105

1998

34

1992

29

1999

34

1993

59

2000

48

1994

108

2001

53

1995

94

2002

65

1996

27

2003

111

(a)           Determine the least squares regression line using Excel.

(b)           Determine the predicted value for 2004.

(c)           Determine the 3 year moving average.

(d)           Determine the MSE for the trend line (in a) and the 3 year moving average (in c.) Which forecasting method is better? Explain.

In: Statistics and Probability

need to check my answers On November 1, 2017, the account balances of Hamm Equipment Repair...

need to check my answers

On November 1, 2017, the account balances of Hamm Equipment Repair were as follows.

No.

Debits

No.

Credits

101 Cash $ 2,390 154 Accumulated Depreciation—Equipment $ 1,870
112 Accounts Receivable 4,300 201 Accounts Payable 2,560
126 Supplies 1,800 209 Unearned Service Revenue 1,170
153 Equipment 11,220 212 Salaries and Wages Payable 710
301 Owner’s Capital 13,400
$19,710 $19,710


During November, the following summary transactions were completed.

Nov. 8 Paid $1,700 for salaries due employees, of which $710 is for October salaries.
10 Received $3,390 cash from customers on account.
12 Received $3,080 cash for services performed in November.
15 Purchased equipment on account $2,020.
17 Purchased supplies on account $740.
20 Paid creditors on account $2,750.
22 Paid November rent $440.
25 Paid salaries $1,700.
27 Performed services on account and billed customers for these services $1,930.
29 Received $570 from customers for future service.

___________________________________________________________________

A.)Enter the November 1 balances in the ledger accounts.

B.)Journalize the November transactions.

c.)Post to the ledger accounts.

d.)Prepare a trial balance at November 30.

e.)Adjustment data consist of:

1. Supplies on hand $1,400.
2. Accrued salaries payable $355.
3. Depreciation for the month is $187.
4. Services related to unearned service revenue of $1,220 were performed.

Journalize the adjusting entries.

Post the adjusting entries

f.)Prepare an adjusted trial balance.

In: Accounting

All Tunes Satellite Radio (ATS) provides a subscription service to satellite radio channels. Customers can pay...

All Tunes Satellite Radio (ATS) provides a subscription service to satellite radio channels. Customers can pay for a subscription on a monthly basis, or pay for a year in advance and receive a 15% discount. Approximately 53% of customers pay in advance. When ATS receives payment in advance, a deferred revenue account (Unearned Revenue) is credited. At the end of each month as the satellite radio service is provided to customers, ATS makes an adjusting entry to recognize subscription revenue. The audit team is planning a reliance on controls strategy to obtain evidence of revenue recognition for ATS. The team will be testing internal controls over the recognition of subscription revenue during interim.

Explain the type of audit strategy planned by the audit team for gathering evidence about revenue recognition.

Suppose during the interim testing of internal controls the team discovers a significant number of instances in which subscription revenue received in advance is recognized immediately as revenue. Analyze how the audit strategy will be impacted.

In: Accounting

Could the number of cars owned be related to whether an individual has children? In a...

Could the number of cars owned be related to whether an individual has children? In a local town, a simple random sample of 200 residents was selected. Data was collected on each individual on how many cars they own and whether they have children. The data was then presented in the frequency table:

Number of Vehicles Do you have children Total
No Yes
Zero 24 50 74
One 27 25 52
Two or more 57 17 74
Total 108 92 200

Part A: What proportion of residents in the study have children and own at least one car? Also, what proportion of residents in the study do not have children and own at least one car? (2 points)

Part B: Explain the association between the number of cars and whether they have children for the 200 residents. Use the data presented in the table and proportion calculations to justify your answer. (4 points)

Part C: Perform a chi-square test for the hypotheses.

H0: The number of cars owned by residents of a local town and whether they have children have no association.
Ha: The number of cars owned by residents of a local town and whether they have children have an association.

What can you conclude based on the p-value? (4 points)

In: Statistics and Probability

Historically, the average score of PGA golfers for one round is 74 with a standard deviation...

Historically, the average score of PGA golfers for one round is 74 with a standard deviation of 3.91. A random sample of 110 golfers is taken. What is the probability that the sample mean is between 73.63 and 74?

Question 2 options:

1)

0.3395

2)

0.0377

3)

0.6605

4)

The sample mean will never fall in this range.

5)

0.4162

In: Statistics and Probability

The general fund budget (in billions of dollars) for a U.S. state for 1988 (period 1)...

The general fund budget (in billions of dollars) for a U.S. state for 1988 (period 1) to 2011 (period 24) follows.

Year Period Budget
($ billions)
1988 1 3.03
1989 2 3.29
1990 3 3.56
1991 4 4.41
1992 5 4.36
1993 6 4.51
1994 7 4.65
1995 8 5.15
1996 9 5.34
1997 10 5.66
1998 11 6.01
1999 12 6.30
2000 13 6.58
2001 14 6.75
2002 15 6.56
2003 16 6.78
2004 17 6.98
2005 18 7.65
2006 19 8.38
2007 20 8.57
2008 21 8.76
2009 22 8.43
2010 23 8.33
2011 24 8.76

(a)

Construct a time series plot.

What type of pattern exists in the data?

The time series plot shows a horizontal pattern.

The time series plot shows a nonlinear trend.    

The time series plot shows a seasonal pattern.

The time series plot shows a linear trend.

(b)

Develop a linear trend equation for this time series to forecast the budget (in billions of dollars). (Round your numerical values to three decimal places.)

Tt =

(c)

What is the forecast (in billions of dollars) for period 25? (Round your answer to two decimal places.)

$ _______ billion

In: Statistics and Probability

please!!!!!!!!!!!!!1 To study how social media may influence the products consumers​ buy, researchers collected the opening...

please!!!!!!!!!!!!!1

To study how social media may influence the products consumers​ buy, researchers collected the opening weekend box office revenue​ (in millions of​ dollars) for 23

recent movies and the social media message rate​ (average number of messages referring to the movie per​ hour). The data are available below. Conduct a complete simple linear regression analysis of the relationship between revenue​ (y) and message rate​ (x).

Q1: Determine the estimate of the standard deviation. s=?????

Q2: What is the test statistic for the​ hypotheses? t=??????

Message_Rate Revenue_($millions)
1363,3 148
1214,8 74
575,9 64
311,3 36
458,1 35
293,2 34
248,3 25
679,5 18
151,7 17
169,6 17
109,7 16
144,3 16
410,2 15
93,4 15
104,2 15
121,8 14
70,7 13
81,3 12
127,6 6
52,2 6
149,6 5
36,3 3
4,2 2

In: Statistics and Probability

A suburban hotel derives its revenue from its hotel and restaurant operations. The owners are interested...

A suburban hotel derives its revenue from its hotel and restaurant operations. The owners are interested in the relationship between the number of rooms occupied on a nightly basis and the revenue per day in the restaurant. Below is a sample of 25 days (Monday through Thursday) from last year showing the restaurant income and number of rooms occupied.

Day Revenue Occupied Day Revenue Occupied
1 $ 1,452 15 14 $ 1,425 65
2 1,361 20 15 1,445 51
3 1,426 21 16 1,439 62
4 1,470 15 17 1,348 45
5 1,456 37 18 1,450 41
6 1,430 29 19 1,431 62
7 1,354 23 20 1,446 47
8 1,442 15 21 1,485 43
9 1,394 58 22 1,405 38
10 1,459 62 23 1,461 51
11 1,399 74 24 1,490 61
12 1,458 88 25 1,426 39
13 1,537 62

1. Determine the coefficient of correlation between the two variables. (Round your answer to 3 decimal places.)

Pearson Correlation:

2.

c-1. State the decision rule for 0.01 significance level: H0: ρ ≤ 0; H1: ρ > 0. (Round your answer to 3 decimal places.)

Reject H0 if t >.   
  

c-2. Compute the value of the test statistic.

Value of the test statistic

D. What percent of the variation in revenue in the restaurant is accounted for by the number of rooms occupied? (Round your answer to 1 decimal place.)

________% of the variation in revenue is explained by variation in occupied rooms.

In: Statistics and Probability

To test whether the mean time needed to mix a batch of material is the same...

To test whether the mean time needed to mix a batch of material is the same for machines produced by three manufacturers, the Jacobs Chemical Company obtained the following data on the time (in minutes) needed to mix the material.

Manufacture
1 2 3
21 27 24
27 24 21
24 33 27
21 24 21

a. Compute the values below (to 2 decimals, if necessary).

Sum of Squares, Error
Mean Squares, Error
Fisher's LSD Value

b. Use Fisher's LSD procedure to develop a 95% confidence interval estimate of the difference between the means for manufacturer 1 and manufacturer 2. Round to two decimal places. Enter negative values as negative numbers.

In: Statistics and Probability

With individual lines at its various windows, a post office finds that the standard deviation for...

With individual lines at its various windows, a post office finds that the standard deviation for waiting times for customers on Friday afternoon is 7.2 minutes. The post office experiments with a single, main waiting line and finds that for a random sample of 27 customers, the waiting times for customers have a standard deviation of 4.35 minutes on a Friday afternoon. What is the Test Statistics to test the claim that a single line causes lower variation among waiting times for customers?

In: Statistics and Probability