Answer:
bad debt expense 18,000
Explanation:
bad debt 1% of credit sales:
180,000 x 1% = 18,000
When the adjustment is made base on sales, the current balance in the allowance for doubtful debts is irrelevant.
So no calculation is needed for those.
Answer:
Explanation:
A)
The regression equation is,
ln(Cell Phone Subscribers) = -820.894 + 0.411704 Year
or,
Percent of Cell Phone Subscribers = exp(--820.894 + 0.411704 Year)
For the year 2005,
Percent of Cell Phone Subscribers = exp(--820.894 + 0.411704 * 2005)
= 96.79%
B)
P-value for the significance of the slope is very low (0.000). Thus, the model is statistically significant and the prediction of the model is highly reliable.
Answer:
(C) -26%
Explanation:
Initial quantity of pizzas demanded = 10,000 slices
New quantity of pizzas demanded = 7,400 slices
Change in quantity of pizzas demanded = new quantity demanded - initial quantity demanded = 7,400 - 10,000 = -2,600 slices
Percentage change in quantity demanded = (change in quantity of pizzas demanded ÷ initial quantity of pizzas demanded) × 100 = (-2600 ÷ 10,000) × 100 = -0.26 × 100 = -26%
Answer:
The insurance cost should be allocated to the products made in January and to those made in February is $8,000 and $7,000 respectively.
Explanation:
For computing the allocated insurance cost, first, we have to compute the per labor rate which is shown below:
Per labor rate = (Annual premium) ÷ (Labor hours)
= ($120,000) ÷ (48,000 hours)
= $2.5
Now the insurance cost would be
For January = Labor rate per hour × number of labor hours\
= 3,200 hours × $2.5
= $8,000
For February = Labor rate per hour × number of labor hours
= 2,800 hours × $2.5
= $7,000