Answer:
$429,560
Explanation:
Present value will be calculated through the PV formula,

r = 15%
C1 = $79,000 ,C2 = $112,000 ,C3 = $164,000 ,C4 = $84,000 ,C5 = $242,000
Substituting the values in the formula,

PV = 68,695.66 + 84,688 + 107,838 + 48,030.2 + 120,338.14
PV = $429,560
The present value of the cash flows of Nutech Corp. over the next five years is $429,560.
Answer:
$3,849.87
Explanation:
The change in balance is the net of the receipts and the payments.
The receipts include the receivables and the interest paid by the bank while the payments include the outgoing expenditure and bank charge.
Balance change
= $16,590 - $12,730 -$12.50 + $2.37
= $3,849.87
Routine purchases may only require internal information search, whereas one-time high expense purchases require more external information search time.
<h3>What is
Routine purchases?</h3>
The routine purchases are one that people make to seek for little decision-making, however this purchases are made with “programmed behavior.
Hence , Routine purchases may only require internal information search, whereas one-time high expense purchases require more external information search time.
Find out more on Routine purchases at brainly.com/question/26242633
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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%
debits Depreciation expense, while the other debits Manufacturing overhead
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