System Design and Analysis

Analyze and design a hotel reservation system -

Should include the following

- Create a Data Flow Diargram that includes Context Diagram and DFD 0
- Create a Use Case Diagram and include 8 fully-dressed use cases.

Early in 2016, Dobbs Corporation engaged Kiner, Inc. to design and construct a complete modernization of Dobbs's manufacturing facility. Construction was begun on June 1, 2016 and was completed on December 31, 2016 Dobbs made the following payments to Kiner, Inc. during 2016:

In order to help finance the construction, Dobbs issued the following during 2016:

In addition to the 9% bonds payable, the only debt outstanding during 2016 was a $357,000, 12% note payable dated January 1, 2012 and due January 1, 2019, with interest payable annually on January 1.

Compute the amounts of each of the following:

Early in 2019, Tanya Corporation engaged a contractor Chavis, Inc. to design and construct Tanya's manufacturing facility. Construction begun on June 1 and completed on December 31, 2019. Tanya made the following expenditures during 2019: Date Payment Jun 1, 2019 $ 3,000,000 Oct 31, 2019 5,400,000 Tanya borrowed $2,000,000 on January 1, 2019, to specifically finance the construction. The loan has a stated interest rate of 8% and a 10-year maturity. In addition, Tanya had the following debt outstanding during 2019: 1. 12%, ten-year bonds issued at par on December 31, 2015, with interest payable annually on December 31 $ 4,000,000 2. 9%, 3-year note payable, dated January 1, 2019, with interest payable annually on January 1 2,000,000

Required:

(a) Compute the weighted-average accumulated expenditures qualifying for capitalization of interest cost during 2019 (show computations).

(b) Compute the weighted-average interest rate for the general borrowings (show computations).

(c) Compute the avoidable interest during 2019 (show computations).

(d) Compute the actual interest cost during 2019 (show computations).

(e) Indicate the amount of interest cost to be capitalized during 2019. (1 mark)

Early in 2017, Dobbs Corporation engaged Kiner, Inc. to design and construct a complete modernization of Dobbs's manufacturing facility. Construction was begun on June 1, 2017 and was completed on December 31, 2017. Dobbs made the following payments to Kiner, Inc. during 2017:

In order to help finance the construction, Dobbs issued the following during 2017:

In addition to the 9% bonds payable, the only debt outstanding during 2017 was a $1,247,000, 12% note payable dated January 1, 2013 and due January 1, 2023, with interest payable annually on January 1.

Compute the amounts of each of the following:

Early in 2020, Dobbs Corporation engaged Kiner, Inc. to design and construct a complete modernization of Dobbs's manufacturing facility. Construction was begun on June 1, 2020 and was completed on December 31, 2020. Dobbs made the following payments to Kiner, Inc. during 2020:

In order to help finance the construction, Dobbs issued the following during 2020:

In addition to the 9% bonds payable, the only debt outstanding during 2020 was a $518,500, 12% note payable dated January 1, 2016 and due January 1, 2023, with interest payable annually on January 1.

Compute the amounts of each of the following:

Accounting for Construction Contracts IAS 11 has been subsumed under the standard IFRS   15, Revenues from Contract with customers. This has implications for the treatment of construction contracts including how they are accounted for, presented and disclosed.

Discuss making reference to the provisions of IFRS 15   Revenue from Contracts with Customers issued May 2014 and applicable for annual reporting beginning on or after January 1, 2018.

(Nb. The case information below is to be used to illustrate your understanding of the issues involved.)

Belvisja Limited has a fixed price contract for $9,000,000 to build a road, that is the initial amount agreed in the contract is $9 M. The contractor estimates that contract cost is $8,000,000. It will take three years to build the road.

By the end of year 1 the contractor’s estimate of contractors cost has increased to $8,050,000.

In year 2 the customer approves a variation resulting in an increase in contract revenue of $200,000 and estimated contract costs of $150,000.

At the end of year 2 costs incurred includes $100,000 for standard material storage on site to be used in year 3 to complete the project.

At the beginning of   year 3 the customer requested that the contract be adjusted by $500,000 for the cleaning of the drains.

The contractor determines the stage of completion of the contract by calculating the proportion that contract cost incurred for work performed to date bear to the latest estimated total contract costs.

Question 1 Run a regression model to estimate the cost of a building using average story height (mean centered) and total floor area (mean centered) as predictors. Using the adjusted R Square statistic, how much variation in the dependent variable can be explained by the model?

Select one: a. between 95% and 98% b. above 98 percent c. between 90% and 95% d. less than 90%

Question 2 Run a regression model to estimate the cost of a building using average story height (mean centered) and total floor area (mean centered) as predictors. Is story height a significant predictor at .05 level?

Select one: a. Yes b. No

Question 3 Run a regression model to estimate the cost of a building using average story height (mean centered) and total floor area (mean centered) as predictors. Is total area a significant predictor at .05 level?

Select one: a. Yes b. No

Question 4 Run a regression model to estimate the cost of a building using average story height (mean centered) and total floor area (mean centered) as predictors. Which of the following is wrong about the slope of total area?

Select one: a. It gives the expected change in the predicted cost for each 1 m2 change in total area, holding story height constant. b. It is a significant slope c. The expected cost of a building with a total area of 1 m2 is HK$13,965

Question 5 Not yet answered Marked out of 1.00 Not flaggedFlag question Question text Run a regression model to estimate the cost of a building using average story height (mean centered) and total floor area (mean centered) as predictors. Which of the following is wrong about the slope of story height?

Select one: a. It gives the expected change in the predicted cost for each 1 cm change in story height, holding total area constant. b. It is a significant slope c. The expected cost of a building with a story height of 0 cms is HK$3,185,038

Question 6 Not yet answered Marked out of 1.00 Not flaggedFlag question Question text Run a regression model to estimate the cost of a building using average story height (mean centered), total floor area (mean centered), and construction type (dummy coded) as predictors. Using the adjusted R Square statistic, how much variation in the dependent variable can be explained by the model?

Select one: a. between 95% and 98% b. above 98 percent c. between 90% and 95% d. less than 90%

Question 7 Not yet answered Marked out of 1.00 Not flaggedFlag question Question text Run a regression model to estimate the cost of a building using average story height (mean centered), total floor area (mean centered), and construction type (dummy coded) as predictors. Which of the following is correct about the intercept?

Select one: a. It is the expected cost of a steel building with an average story height and an average total area. b. It is the expected cost of a reinforced concrete building with an average story height and an average total area. c. It is the expected cost of a steel building with a story height of 0 cm and an average total area. d. It is the expected cost of a reinforced concrete building with an average story height and a total area of 0 m2.

Question 8 Not yet answered Marked out of 1.00 Not flaggedFlag question Question text Run a regression model to estimate the cost of a building using average story height (mean centered), total floor area (mean centered), and construction type (dummy coded) as predictors. According to the model, is it significantly more expensive (at .05 level) to build a steel building compared to a reinforced concrete building, holding everything else constant?

Select one: a. no b. yes

Question 9 Not yet answered Marked out of 1.00 Not flaggedFlag question Question text Run a regression model to estimate the cost of a building using average story height (mean centered), total floor area (mean centered), and construction type (dummy coded) as predictors. Which of the following is wrong about the slope of story height?

Select one: a. it is the expected change in the predicted building cost for a one unit change in story height, holding total area and construction type constant. b. Has a positive relationship with the cost of building c. Has a negative relationship with the cost of building

Question 10 Not yet answered Marked out of 1.00 Not flaggedFlag question Question text Run a regression model to estimate the cost of a building using average story height (mean centered), total floor area (mean centered), and construction type (dummy coded) as predictors. Which of the following is wrong about the slope of total area?

Select one: a. it is the expected change in the predicted building cost for a one unit change in total area, in holding story height and construction type constant. b. Has a positive relationship with the cost of building c. Has a negative relationship with the cost of building

1. What percentage of data would you predict would be between 40 and 70 and what percentage would you predict would be more than 70 miles? Subtract the probabilities found through =NORM.DIST(70, mean, stdev, TRUE) and =NORM.DIST(40, mean, stdev, TRUE) for the “between” probability. To get the probability of over 70, use the same =NORM.DIST(70, mean, stdev, TRUE) and then subtract the result from 1 to get “more than”. Now determine the percentage of data points in the dataset that fall within this range, using same strategy as above for counting data points in the data set. How do each of these compare with your prediction and why is there a difference?