Answer the Following Questions Using the Information Below:
the Green $\text { Direct Materials processed: } \quad 98,000 \text { gallons (after shrinkage) }$

question 33

Multiple Choice

Answer the following questions using the information below:
The Green Company processes unprocessed goat milk up to the splitoff point where two products, condensed goat milk and skim goat milk result. The following information was collected for the month of October:
$\text { Direct Materials processed: } \quad 98,000 \text { gallons (after shrinkage) }$
$\begin{array}{lll}\text { Proauction: } & \text { Condensed goat milk } & 42,500 \text { gallons } \\& \text { Skim goat milk } & 55,500 \text { gallons } \\\text { Sales: } & \text { Condensed goat milk } & \$ 3.50 \text { per gallon } \\&\text { skim goat milk } & \$ 2.50 \text { per gallon }\end{array}$ The costs of purchasing the of unprocessed goat milk and processing it up to the splitoff point to yield a total of 98,000 gallons of saleable product was $184,480. There were no inventory balances of either product.
Condensed goat milk may be processed further to yield 42,000 gallons (the remainder is shrinkage) of a medicinal milk product, Xyla, for an additional processing cost of $4 per usable gallon. Xyla can be sold for $20 per gallon.
Skim goat milk can be processed further to yield 54,200 gallons of skim goat ice cream, for an additional processing cost per usable gallon of $4. The product can be sold for $9 per gallon.
There are no beginning and ending inventory balances.
-How much (if any) extra income would Green earn if it produced and sold all of the Xyla from the condensed goat milk? Allocate joint processing costs based upon relative sales value on the splitoff.(Extra income means income in excess of what Green would have earned from selling condensed goat milk.)

• A) $576,552
• B) $132,250
• C) $523,250
• D) $181,968

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Definitions:

Stepwise Regression

A method of fitting regression models in which the choice of predictive variables is carried out by an automatic procedure.

Multicollinearity

Describes a situation in statistical models where independent variables are highly correlated, leading to difficulties in estimating separate effects.

Coefficient of Determination

A statistical measure that describes the proportion of the variance in the dependent variable predictable from the independent variable(s).

Dummy Variables

Binary variables used in regression models to represent categorical data, where the values 0 and 1 indicate the absence or presence of some categorical effect.