CASE 9‐4 Self‐Constructed Assets
Jay Manufacturing, Inc., began operations five years ago producing the probo, a new type of instrument it hoped to sell to doctors, dentists, and hospitals. The demand forprobos far exceeded initial expectations, and the company was unable to produce enough probos to meet that demand. Jay was manufacturing probos on equipment it built at the start of its operations, but it needed more efficient equipment to meet demand. Company management decided to design and build the equipment because no equipment currently available on the market was suitable for producing probos.
In 2017, a section of the plant was devoted to development of the new equipment and a special staff of personnel was hired. Within six months, a machine was developed at a cost of $170,000 that increased production and reduced labor cost substantially. Sparked by the success of the new machine, the company built three more machines of the same type at a cost of $80,000 each.
Required:
In: Accounting
Your company's stock sells for $50 per share, its last dividend (D0) was $2.00, its growth rate is a constant 5 percent, and the company would incur a flotation cost of 15 percent if it sold new common stock. Net income for the coming year is expected to be $500,000, the firm's payout ratio is 60 percent, and its common equity ratio is 30 percent. If the firm has a capital budget of $1,000,000, what component cost of common equity will be built into the WACC for the last dollar of capital the company raises?
In: Finance
Consider the natural join of the relation R(A,B) and S(A,C) on attribute A. Neither relations have any indexes built on them. Assume that R and S have 80,000 and 20,000 blocks, respectively. The cost of a join is the number of its block I/Os accesses. If the algorithms need to sort the relations, they must use two-pass multi-way merge sort.
QUESTION:
Assume that there are 10 blocks available in the main memory. What is the fastest join algorithm for computing the join of R and S? What is the cost of this algorithm?
In: Advanced Math
1. What components of final expenditure (C, I, G, NX) if any, would the following transactions change? (provide numerical values for parts g and k)
a. A U.S. family buys a new refrigerator made in Illinois
b. A U.S. family buys a new refrigerator made in China
c. You buy a new house in Chicago
d. You buy a pizza from Dominos
e. California repaves U.S. highway one.
f. GM sells a car from its inventory of cars
g. You buy a house built in 2000. The house cost $120,000 in 2000, your purchase price is $200,000, of which $10,000 goes to a real estate agent as sales commission.
h. U.S. government spending for unemployment benefits increases because of increasing unemployment.
i. A parent pays $1,000 for daycare for their child.
j. Ben and Jerrys buy milk to make ice cream.
k. You buy $20 of yarn at a craft store. You use the yarn to make a sweater, which would cost $80 if sold at Target.
l. You pay rent for an apartment in a building that was built in 2002.
m. Fifth third bank lends a manufacturer $1,000,000.
n. The City of Chicago purchases new police cars
o. Wildfires destroy homes in California (do not count the cost of fighting the fires).
1. What components of final expenditure (C, I, G, NX) if any, would the following transactions change? (provide numerical values for parts g and k)
a. A U.S. family buys a new refrigerator made in Illinois
b. A U.S. family buys a new refrigerator made in China
c. You buy a new house in Chicago
d. You buy a pizza from Dominos
e. California repaves U.S. highway one.
f. GM sells a car from its inventory of cars
g. You buy a house built in 2000. The house cost $120,000 in 2000, your purchase price is $200,000, of which $10,000 goes to a real estate agent as sales commission.
h. U.S. government spending for unemployment benefits increases because of increasing unemployment.
i. A parent pays $1,000 for daycare for their child.
j. Ben and Jerrys buy milk to make ice cream.
k. You buy $20 of yarn at a craft store. You use the yarn to make a sweater, which would cost $80 if sold at Target.
l. You pay rent for an apartment in a building that was built in 2002.
m. Fifth third bank lends a manufacturer $1,000,000.
n. The City of Chicago purchases new police cars
o. Wildfires destroy homes in California (do not count the cost of fighting the fires).
In: Economics
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 | 65 | 14 | $ | 1,425 | 31 | ||||||
| 2 | 1,361 | 20 | 15 | 1,445 | 51 | ||||||||
| 3 | 1,426 | 21 | 16 | 1,439 | 62 | ||||||||
| 4 | 1,470 | 50 | 17 | 1,348 | 45 | ||||||||
| 5 | 1,456 | 70 | 18 | 1,450 | 41 | ||||||||
| 6 | 1,430 | 23 | 19 | 1,431 | 62 | ||||||||
| 7 | 1,354 | 30 | 20 | 1,446 | 47 | ||||||||
| 8 | 1,442 | 21 | 21 | 1,485 | 43 | ||||||||
| 9 | 1,394 | 15 | 22 | 1,405 | 38 | ||||||||
| 10 | 1,459 | 36 | 23 | 1,461 | 36 | ||||||||
| 11 | 1,399 | 41 | 24 | 1,490 | 30 | ||||||||
| 12 | 1,458 | 35 | 25 | 1,426 | 65 | ||||||||
| 13 | 1,537 | 65 | |||||||||||
Choose the scatter diagram that best fits the data.
| Scatter diagram 1 | Scatter diagram 2 | Scatter diagram 3 |
Scatter diagram 1
Scatter diagram 2
Scatter diagram 3
Determine the coefficient of correlation between the two variables. (Round your answer to 3 decimal places.)
c-1. State the decision rule for 0.01 significance level: H0: ρ ≤ 0; H1: ρ > 0. (Round your answer to 3 decimal places.)
c-2. Compute the value of the test statistic. (Round your answer to 2 decimal places.)
c-3. Is it reasonable to conclude that there is a positive relationship between revenue and occupied rooms? Use the 0.01 significance level.
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.)
In: Statistics and Probability
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.
| Income | Occupied |
| 1452 | 30 |
| 1361 | 31 |
| 1426 | 32 |
| 1470 | 32 |
| 1456 | 30 |
| 1430 | 29 |
| 1354 | 31 |
| 1442 | 32 |
| 1394 | 33 |
| 1459 | 33 |
| 1399 | 30 |
| 1458 | 33 |
| 1537 | 32 |
| 1425 | 32 |
| 1445 | 30 |
| 1439 | 33 |
| 1348 | 31 |
| 1450 | 32 |
| 1431 | 30 |
| 1446 | 32 |
| 1485 | 30 |
| 1405 | 29 |
| 1461 | 31 |
| 1490 | 33 |
| 1426 | 30 |
Determine the coefficient of correlation between the two variables. (Round your answer to 3 decimal places.)
c-1. State the decision rule for 0.025 significance level: H0: ρ ≤ 0; H1: ρ > 0. (Round your answer to 3 decimal places.)
c-2Compute the value of the test statistic. (Round your answer to 2 decimal places.)
c-3. Is it reasonable to conclude that there is a positive relationship between revenue and occupied rooms? Use the 0.025 significance level.
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.)
In: Statistics and Probability
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 | 30 | 14 | $ | 1,425 | 31 | ||||||
| 2 | 1,361 | 29 | 15 | 1,445 | 34 | ||||||||
| 3 | 1,426 | 31 | 16 | 1,439 | 34 | ||||||||
| 4 | 1,470 | 32 | 17 | 1,348 | 31 | ||||||||
| 5 | 1,456 | 32 | 18 | 1,450 | 30 | ||||||||
| 6 | 1,430 | 32 | 19 | 1,431 | 30 | ||||||||
| 7 | 1,354 | 29 | 20 | 1,446 | 31 | ||||||||
| 8 | 1,442 | 30 | 21 | 1,485 | 34 | ||||||||
| 9 | 1,394 | 32 | 22 | 1,405 | 30 | ||||||||
| 10 | 1,459 | 32 | 23 | 1,461 | 32 | ||||||||
| 11 | 1,399 | 31 | 24 | 1,490 | 30 | ||||||||
| 12 | 1,458 | 31 | 25 | 1,426 | 30 | ||||||||
| 13 | 1,537 | 34 | |||||||||||
Choose the scatter diagram that best fits the data.
| Scatter diagram 1 | Scatter diagram 2 | Scatter diagram 3 |
Scatter diagram 1
Scatter diagram 2
Scatter diagram 3
Determine the coefficient of correlation between the two variables. (Round your answer to 3 decimal places.)
Pearson correlation _______
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. (Round your answer to 2 decimal places.)
Value of the test statistic ______
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
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.)
|
c-2. Compute the 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
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 | 60 | 14 | $ | 1,425 | 31 | ||||||
| 2 | 1,361 | 20 | 15 | 1,445 | 51 | ||||||||
| 3 | 1,426 | 21 | 16 | 1,439 | 62 | ||||||||
| 4 | 1,470 | 80 | 17 | 1,348 | 45 | ||||||||
| 5 | 1,456 | 70 | 18 | 1,450 | 41 | ||||||||
| 6 | 1,430 | 29 | 19 | 1,431 | 62 | ||||||||
| 7 | 1,354 | 30 | 20 | 1,446 | 47 | ||||||||
| 8 | 1,442 | 21 | 21 | 1,485 | 43 | ||||||||
| 9 | 1,394 | 15 | 22 | 1,405 | 38 | ||||||||
| 10 | 1,459 | 36 | 23 | 1,461 | 36 | ||||||||
| 11 | 1,399 | 41 | 24 | 1,490 | 30 | ||||||||
| 12 | 1,458 | 35 | 25 | 1,426 | 65 | ||||||||
| 13 | 1,537 | 51 | |||||||||||
a. Choose the scatter diagram that best fits the data.
b. Determine the coefficient of correlation between the two variables. (Round your answer to 3 decimal places.)
c-1. State the decision rule for 0.01 significance level: H0: ρ ≤ 0; H1: ρ > 0. (Round your answer to 3 decimal places.)
c-2. Compute the value of the test statistic. (Round your answer to 2 decimal places.)
c-3. Is it reasonable to conclude that there is a positive relationship between revenue and occupied rooms? Use the 0.01 significance level.
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.)
In: Statistics and Probability
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 | 65 | 14 | $ | 1,425 | 31 | ||||||
| 2 | 1,361 | 20 | 15 | 1,445 | 51 | ||||||||
| 3 | 1,426 | 21 | 16 | 1,439 | 62 | ||||||||
| 4 | 1,470 | 50 | 17 | 1,348 | 45 | ||||||||
| 5 | 1,456 | 70 | 18 | 1,450 | 41 | ||||||||
| 6 | 1,430 | 23 | 19 | 1,431 | 62 | ||||||||
| 7 | 1,354 | 30 | 20 | 1,446 | 47 | ||||||||
| 8 | 1,442 | 21 | 21 | 1,485 | 43 | ||||||||
| 9 | 1,394 | 15 | 22 | 1,405 | 38 | ||||||||
| 10 | 1,459 | 36 | 23 | 1,461 | 36 | ||||||||
| 11 | 1,399 | 41 | 24 | 1,490 | 30 | ||||||||
| 12 | 1,458 | 35 | 25 | 1,426 | 65 | ||||||||
| 13 | 1,537 | 65 | |||||||||||
Choose the scatter diagram that best fits the data.
| Scatter diagram 1 | Scatter diagram 2 | Scatter diagram 3 |
Scatter diagram 1
Scatter diagram 2
Scatter diagram 3
Determine the coefficient of correlation between the two variables. (Round your answer to 3 decimal places.)
Pearson correlation _____
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. (Round your answer to 2 decimal places.)
Value of the test statistic _________
c-3. Is it reasonable to conclude that there is a positive relationship between revenue and occupied rooms? Use the 0.01 significance level.
______ H0, it ______ reasonable to conclude that there is a positive relationship between revenue and occupied rooms.
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 occupied rooms.
In: Statistics and Probability