Answer:
A). A real estate development company wants to estimate the probable sales of construction services on the basis of marriage rates, population movement in the region, and interest rates on construction loans.
Explanation:
Multiple regression is elucidated as the statistical technique employed to determine the association between two or more dependent or response and independent/explanatory variables.
As per the question, the multiple regression can be employed in the first situation where 'a real estate company wishes to forecast the probable sales of construction on the basis of....loans.' Multiple regression analysis would help in representing the linear relationship between these two variables that helps in ensuring effective analysis and making predictions and ensuring optimum output. Thus, <u>option A</u> is the correct answer.
Answer:
a. $8,900
b. $7,200
c. $2,300
d. $850
Explanation:
<u>Goods Available For Sale Calculation :</u>
Beginning inventory 5,000
Add Net Purchases 3,900
Goods Available For Sale 8,900
<u>Cost of Goods Sold Calculation :</u>
Goods Available For Sale 8,900
Less Ending Inventory (1,700)
Cost of Goods Sold 7,200
<u>Gross Profit Calculation :</u>
Net Sales 9,500
Less Cost of Goods Sold (7,200)
Gross Profit 2,300
<u>Net Income Calculation :</u>
Gross Profit 2,300
Less Expenses (1,450)
Net Income 850
Answer:
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Answer:
The correct answer is letter "C": Profitable product lines may be dropped.
Explanation:
The decision of making a product in-house or relying on an outsourcing manufacturer is evaluated mainly by comparing the costs that handling a new production line carries. While outsourcing can save a company a great amount of money in <em>labor, equipment, materials, </em>and <em>knowledge</em>, quality control is not managed directly.
However, <em>a new line of components in-house implies incurring in most costs that could conflict the production of existing profitable product lines that could see their numbers reduce gradually until the product drops.</em>