Answer:
The annual difference between Option 1 (15 years) and Option 2 (20 years) is $7,211.19 in favor of the first one.
Explanation:
Giving the following information:
Option 1:
Number of years= 15
FV= 450,000
i= 0.0525
Option 2:
Number of years= 20
FV= 450,000
i= 0.0525
To calculate the annual cash flow, we will use the following formula on each option:
A= (FV*i)/{[(1+i)^n]-1}
A= annual cash flow
<u>Option 1:</u>
A= (450,000*0.0525) / [(1.0525^15) - 1]
A= $20,464.72
<u>Option 2:</u>
A= (450,000*0.0525) / [(1.0525^20) - 1]
A= $13,253.53
The annual difference between Option 1 (15 years) and Option 2 (20 years) is $7,211.19 in favor of the first one.
Answer:
Given this change in the cost, the adequacy and quality of the estimated cost drivers and costs used by the system will determine the costing results for SR6 under the new system.
Explanation:
A cost driver can be described as the unit of an activity or any factor that makes the cost of an activity to fluctuate. An estimated cost driver is adequate and of the expected quality when quality or quantity is satisfactory or acceptable.
Therefore, given this change in the cost, the adequacy and quality of the estimated cost drivers and costs used by the system will determine the costing results for SR6 under the new system.
Answer:
decision support system.
Explanation:
A decision support system is an intelligent system that automates the organizational decision process by collecting data regarding organizational processes and logical and quantitative learning of factors that directly impact a business.
It is then configured as a very effective tool to reduce the risk inherent in the decision-making process of an expert who does not have much experience to make a decision based on their own knowledge.
Answer:
Explanation:
a. In a regression equation expressed as y= a + bx, how is the letter b best described?
Here, b is the slope and best described as the estimate of the cost when there's a visit of an additional customer.
b. How is the letter y in the regression equation best described?
The letter y is the observed store cost for that particular month.
c. How is the letter x in the regression equation best described?
The letter x is the observed customer visit for that particular month.
d. Based on the data derived from the regression analysis, what are the estimated costs for 370 customer-visits in a month?
The estimated cost for 370 customer visit will be:
Y = a + bx
where,
a =$1496
b = $2.08
x = 370 customer visit
Y = $1496 + ($2.08 × 370 customer visit)
= $1496 + $769.6
= $2265.6
e. What is the percent of the total variance that can be explained by the regression equation?
The percent of total variance which the regression equation explain will be:
R2 = 0.86814 or 86.814%
Answer:
Total Manufacturing Costs is $95,680
Explanation:
Wyckam Manufacturing Inc.
Planning Budget for Manufacturing costs
For the month Ended June 30
Direct Materials (4,200 hours *$5.40) $22,680
Direct Labor Fixed $42,400
Supplies (4,200 hours * $0.25
) $1,050
Utilities ($1,700+ 4,200 Hours * $0.25) $2,750
Depreciation Fixed $15,200
Insurance Fixed $11,600
Total Manufacturing Costs $95,680
