Answer:
Option (D) is correct.
Explanation:
Calculation of total manufacturing overhead:-
4000 units manufacturing overhead:
= Production volume × Manufacturing overhead
= 4,000 × $94
= $376,000
5000 units manufacturing overhead:
= Production volume × Manufacturing overhead
= 5,000 × $77.60
= $388,000
Variable cost per unit:
= 12
Fixed cost = Total cost - variable cost
= $388,000 - 5,000 × 12
= $388,000 - $60,000
= $328,000
So total monthly fixed manufacturing cost is $328,000.
Answer:
the journal entry to record warranty expense is:
Dr Warranty expense 30,000
Cr Warranty liability 30,000
the journal entry to record actual expenses related to product warranties:
Dr Warranty liability 10,000
Cr Cash (or inventory, or wages payable) 10,000
Depending on what type of costs are incurred by the company, the account credited will vary, e.g. if units are replaced, then inventory must be credited, or if units are repaired and only labor is used, then wages payable or cash should be credited. Since the question doesn't give us a lot of details, I credited cash.
Answer:
The least that this option should sell for is $3,125.
Explanation:
Acording to the data, we have the following:
The current spot exchange is $1.55=€1.00
The call option has a strike price of $1.50=€1.00 and spot price is €62,500
Hence,to calculate the least value this option should sell for we have to calculate the following:
$1.55-$1.50=$0.05
Hence, $0.05*62,500= $3,125.
Answer:
$250
This because out of the total surplus, the surplus left after being received by the consumer goes to the producer.
Explanation:
Data provided in the question:
Price of tomato = $10
Equilibrium quantity = 50 tomatoes
Consumer surplus = $400
Total surplus = $650
Now,
The producer surplus = Total surplus - Consumer surplus
= $650 - $400
= $250
This because out of the total surplus, the surplus left after being received by the consumer goes to the producer.
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%