Answer:
c. $255,000
Explanation:
Rouge should report the following income for this quarter = $250,000 (net income) + $20,000 (cumulative effect loss) - $15,000 (25% of annual property taxes) = $255,000
Cumulative effects on inventory valuation occur when overstate or understate your inventory levels, which directly affects cost of goods sold and overall profits.
$420,000.
$400,000.
$430,000.
Question: What percentage of the variation in overhead costs is explained by the independent variable
Answer: 82.8%
Explanation:
= 0.848 (84.8%), the explanation of variation in Y from the X regress
Question: What is the total overhead cost for an estimated activity level of 60,000 direct labor-hours
Answer: $410,000
Explanation:
The equation resulting from this regression analysis is:
Total overhead = Estimated fixed cost + Estimated variable cost per labor hour x Labor hours
= Intercept estimate + Coefficient estimate on independent variable x 60,000 DLH
= 110000 + 5 x 60000 DLH
= 110000 + 300000
= 410000
Here is the full question with the appropriate tables.
Cortez Company is planning to introduce a new product that will sell for $108 a unit. The following manufacturing cost estimates have been made on 20,000 units to be produced the first year;
Direct Materials $700,000
Direct Labor $720,000 (= $18 per hour × 40,000 hours)
Manufacturing overhead costs have not yet been estimated for the new product, but monthly date on total production and overhead costs for the post 24 months have been analyzed using simple linear regression. The following results were derive from the simple regression and provide the basis for overhead cost estimates for the new product.
Simple Regression Analysis Results.
Dependent variable-Factory overhead cost-Independent Variable-Direct labor hours Computed values
Intercept $ 120,0000
Coefficient on independent variable $ 5.00
Coefficient of correlation .920
R² .828
What percentage of the variation in overhead costs is explained by the independent variable? 82.8% 91.1% 99.4% 74.5% None of the above.
What is the total overhead cost for an estimated activity level of 60,000 direct labor-hours?
$410,000.
$420,000.
$400,000.
$430,000.
Answer:
R² = 82.8%
$420,000
Explanation:
Given that:
R² = .828
The percentage of the variation in overhead costs explained by the independent variable in Y from the X regressor = %
= 82.8%
Given that:
direct labor-hours = 60,000
To calculate the Total overhead cost; we have:
(Total overhead) to be = Estimated fixed cost + estimated variable cost per
labor hour × labor-hours
= Intercept estimate + Coefficient estimate on
independent variable × 60,000 direct labor-hours
= $120,000 + ($5 × 60,000) direct labor-hours
= $120,000 + $300,000
= $420,000
∴ the total overhead cost for an estimated activity level of 60,000 direct labor-hours = $420,000.
10 to Rs 8 of a commodity but
the quantity demanded
remains the same , price
elasticity is *
one
O zero
O infinity
O none of these
Answer:
O zero
Explanation:
Elasticity of demand is defined as the rate of change of quantity of a good demanded with change in price.
Commodities with low elasticity change a little with change in price, while those with high elasticity have a large change with change in price.
The formula for price elasticity is
Elasticity of demand = (% change in quantity demanded) ÷ (% change in price)
Assume the demand is 10 units
Elasticity of demand = ({10 - 10} ÷ 10 * 100) ÷ ({8 - 10} ÷ 10 * 100)
Elasticity of demand = (0) ÷ (-20)
Elasticity of demand = 0
Answer:
PED = 0
Explanation:
The PED or price elasticity of demand is a measure to track and determine the responsiveness of quantity demanded to changes in price of the commodity. The PED is calculated using the following formula,
PED = % Change in Quantity demanded / % Change in Price
or
PED = [( Q1 - Q0 ) / Q0] / [( P1 - P0 ) / P0]
Lets assume that at price 10 the quantity demanded was also 10 and when price decreased to 8, the quantity demanded remained the same i.e. 10
So,
PED = [( 10 - 10 ) / 10] / [( 8 - 10 ) / 10]
PED = 0
Thus, the price elasticity of demand is zero.
Answer:
A profit margin of 10% indicates that:
for every $1 in net sales, the company generates $0.10 in net income.
Explanation:
Company B's profit margin measures the degree to which the company makes extra money after deducting the expenses from the sales revenue. When expressed as a percentage, it indicates how many cents of profit has been generated for each dollar of sales.
A profit margin of 10% denotes that for every $1 in net sales, the company produces $0.10 in net income. It is calculated by dividing the net income by the net sales and multiplying the result by 100.
A profit margin of 10% indicates that for every $1 in net sales, the company generates $0.10 in net income. This is because the profit margin is calculated by dividing the net income by the net sales and then multiplying the result by 100 to get a percentage. In this case, a profit margin of 10% signifies that the company is able to generate 10 cents of profit from each dollar of sales.
#SPJ12
Answer:
Total overhead cash disbursement= $59,080
Explanation:
Giving the following information:
Estimated direct labor hours= 2,800
The variable overhead rate is $7.00 per direct labor-hour.
Estimated fixed manufacturing overhead= $43,120 per month
Includes depreciation of $3,640
To calculate the cash disbursement, we need to deduct from the fixed manufacturing overhead the depreciation expense because it is not a cash disbursement.
Variable overhead= 7*2,800= 19,600
Fixed overhead= 43,120-3,640= 39,480
Total overhead cash disbursement= $59,080
Answer:
Returns to scale = 1.15
Increasing returns to scale.
Explanation:
Cobb-Douglas production function of the form:
Here, we are using a simple rule of factors to find the returns to scale:
Hence,
By adding up the powers of L and K, we can get the returns to scale.
Returns to scale = 1.15
Suppose, the power of L be 'a' and the power of K is 'b',
if a + b = 1, then it exhibits constant returns to scale
if a + b > 1, then it exhibits increasing returns to scale
if a + b < 1, then it exhibits decreasing returns to scale.
In our case,
a + b = 1.15 which is greater than 1, so this production function exhibits increasing returns to scale.
Market
Minneapolis Medical Dental
Sales $ 330,000 100 % $ 220,000 100 % $ 110,000 100 %
Variable expenses 198,000 60 % 143,000 65 % 55,000 50 %
Contribution margin 132,000 40 % 77,000 35 % 55,000 50 %
Traceable fixed expenses 39,600 12 % 11,000 5 % 28,600 26 %
Market segment margin 92,400 28 % $ 66,000 30 % $ 26,400 24 %
Common fixed expenses
not traceable to markets 9,900 3 %
Office segment margin $ 82,500 25 %
The company would like to initiate an intensive advertising campaign in one of the two market segments during the next month. The campaign would cost $4,400. Marketing studies indicate that such a campaign would increase sales in the Medical market by $38,500 or increase sales in the Dental market by $33,000.
Required:
Calculate the increased segment margin.for Medical:
Calculate the increased segment margin for Dental:
Answer:
Increase Segment margin for Medial = $9,075
Increase Segment margin for Dental = $12,100
Explanation:
The calculation of increased segment margin.for Medical and Dental is shown below:-
Medical Dental
Incremental Sales $38,500 $33,000
Less: Variable Cost ($25,025) ($16,500)
(Medical 65% and ($38,500 × 65%) ($33,000 × 50%)
Dental 50%)
Incremental
Contribution Margin $13,475 $16,500
Less: Traceable
Advertising Cost ($4,400) ($4,400)
Increase Segment
Margin $9,075 $12,100