Answer:
10.66%
Explanation:
The computation of the weighted-average interest rate is shown below:
Particulars Principal Interest
10%, 5-year note payable $2,013,900 $201,390
11%, 4-year note payable $3,826,400 $420,904
Total amount $5,840,300 $622,294
So, the weighted-average interest rate would be
= $622,294 ÷ $5,840,300
= 10.66%
According to 2005 study of high school students in Wisconsin, the primary motivator today for high school students' decision to participate in community or service work is the edge it gives them during college admission. Students see community service as a mean of enhancing their eligibility for college admission, because it is one of the criteria that college admission committee consider during admission process.
Answer: a. evaluate available resource
Explanation:
Management set a production goal of 500 shippable parts per eight-hour shift. The scrap rate had been running at nine percent. The maximum speed of the machines was 60 parts per hour or one per minute. Which one of the goal-setting steps were missed?
a. evaluate available resource this is the key aspect of production without which production can not kick start or hamper its speed.
Answer:
Company shall rework on the cell phones.
Explanation:
In the given case we will do the comparison of the rework with the scrap.
In case of rework:
Total cost = $67 of manufacturing + $90 of rework = $157 each unit
Selling price then would be = $134 each
Loss on per unit = $157 - $134 = $23 on each cell phone.
In case no rework is done and the mobile phones are sold in scrap then the cost associated = $67 each
Value for sale = $33 each
Loss per unit on such sale = $67 - $33 = $34 each unit.
Since there is plenty of idle capacity the company in order to decrease the loss from selling these defective cell phones, the company shall rework on the phones, as loss in this case will be $34 - $23 = $11 per cell phone less than the loss in case of scrap sale.
Answer:
7602.28
Explanation:
Given the data:
Rainfall in X Sales in Dollars of Umbrellas
City A 35 2800
City B 30 2000
City C 12 800
Using the linear regression calculator :
The linear model obtained for the data is :
y = - 226.424 + 81.549x
Using the model, the predicted sales for 96 inches of rain will be:
X = 96
y = - 226.424 + 81.549(96)
The predicted sales is 7602.28