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Licemer1 [7]
2 years ago
8

Jaxon Markets currently has credit terms of net 30, an average collection period of 29 days, and average receivables of $211,410

. The firm estimates that if it offered terms of 2/10, net 30 that 45 percent of its customers would pay on day 10 with the remainder paying on average in 32 days. How much cash could the company free up from its accounts receivables if it switched its credit policy? Group of answer choices $38,762 $65,009 $58,336 $64,219 $50,301
Business
1 answer:
Fudgin [204]2 years ago
7 0

Answer: $50,301

Explanation:

If they offered the new terms of 2/10, net 30 then 45 percent of their customers would pay on day 10 with the remainder paying on average in 32 days.

The collection period would therefore be;

= 0.45 * 10 + 0.55 * 32

= 22.1 days

Currently the Average Daily sales are;

= Average Receivables/ Average collection period

= 211,410/29

= $7,290

With the new collection period their Average receivables would be;

= 7,290 * 22.1

= $‭161,109‬

Potential cash to be freed up = Current Receivables - New receivables

= 211,410 - 161,109

= $50,301

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Ohio Swiss Milk Products manufactures and distributes ice cream in Ohio, Kentucky, and West Virginia. The company wants to expan
LenaWriter [7]

Answer:

a. The regression equation required is Y = 915.18 – 0.2819X.

b. b-1. Correlation coefficient (r) = –0.9423

b-2. Coefficient of determination = r^2 = 88.80%

b-3. The negative correlation coefficient of -0.9423 implies that increase in X mostly causes a decrease in Y. The coefficient of determination implies that 88.80% variation in Y is explained by X.

c. The manufacturing cost per gallon is $823.56.

Explanation:

Note: See the attached excel file for the calculation of Mean of X and Y and other values.

a. Develop a regression equation to forecast the cost per gallon as a function of the number of gallons produced.

The regression can be written as follows:

Y = bo + b1X ………………… (1)

b1 = (Sum of (Y - Mean of Y) * (X - Mean of X)) / (Sum of (X - Mean of X)^2) = –34,273.08 / 121,585.14 = –0.2819

b0 = Mean of Y – (b1 * Mean of X) = 1,018.20 - (365.44 * 0.2819) = 915.18

Substituting b) and b1 values into equation (1), regression equation to forecast the cost per gallon as a function of the number of gallons produced can be written as follows:

Y = 915.18 – 0.2819X ……………………….. (2)

Equation (2) is the regression equation required.

b. What are the correlation coefficient and the coefficient of determination? Comment on your regression equation in light of these measures.

b-1. Correlation coefficient (r) can be calculated using the following formula:

r = (Sum of (Y - Mean of Y) * (X - Mean of X)) / ((Sum of (Y - Mean of Y)^2) * (Sum of (X - Mean of X)^2))^0.5 = –34,273.08 / (10,879.60 * 121,585.14)^0.5 = –0.9423

b-2. Coefficient of determination = r^2 = –0.94^2 = 0.8880, or 88.80%

b-3. The negative correlation coefficient of -0.9423 implies that increase in X mostly causes a decrease in Y. The coefficient of determination implies that 88.80% variation in Y is explained by X.

c. Suppose that the market survey indicates a demand of 325,000 gallons in the Bucyrus Ohio, area. Estimate the manufacturing cost per gallon for a plant producing 325,000 gallons per year.

Since X and Y are in thousands, 325,000 gallons implies we have:

X = 325

Substitute X = 325 into equation (2), we have:

Y = 915.18 - (0.2819 * 325)

Expressing in full form, we have:

Y = $823

Therefore, the manufacturing cost per gallon is $823.56.

Download xlsx
3 0
2 years ago
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