Answer:
The correct answer is: Retail Trade.
Explanation:
The North American Industry Classification System (<em>NAICS</em>) is a standard used to classify businesses of different industries. The classification apples by companies located in Mexico, the U.S., and Canada. <em>Automobile dealers, furniture, electronics and appliances, groceries, clothing, </em>and <em>shoe stores</em> among others are considered Retail Trade businesses according to the NAICS.
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Answer:
(a) C(x) = 9500 + 55x
(b) R(x) = 90x
(c) P(x) = 35x - 9500
(d) C(240) = $22,700
All functions are measured in $.
Explanation:
The total revenue of an entity is a function of the number of units sold and the selling price per unit. The total cost is a function of the fixed cost and the variable cost (which is also a function of the units produced/sold). Profit is a function of sales and cost.
Given that monthly;
fixed costs = $9500
variable costs = $55 per unit
Selling price = $90 per unit
Where x is the number of units
total costs C(x) in $ = 9500 + 55x
total revenue R(x) in $ = 90x
profit P(x) in $ = 90x - (9500 + 55x)
= 35x - 9500
C(240) = 9500 + 55(240)
= $22,700
Answer:
0.25
Explanation:
Given the following outcomes,
- Outcome 1: probability (P) = 0.25, return (R) = 0.10
- Outcome 2: P = 0.50, R = 0.25
- Outcome 3: P = 0.25, R = 0.40
The expected return on the investment
= 
= (0.25 * 0.10) + (0.50 * 0.25) + (0.25 * 0.40)
= 0.025 +0.125 + 0.100
Expected return = 0.25.
The closest to the total cost if the firm uses 6,000 machine hours is $2,945.95.
<h3>What is regression analysis?</h3>
The term regression analysis is defined as a combination of statistical methods utilised for the for the relation between a variable which is not dependent and a variable which is dependent.
The prediction errors that will be represented by vertical lines from regression line to the point.The main purpose or aim of regression analysis is to confirm the value of the variable which is dependent. The second objective of regression line is to calculate the effect of elaborately variable on the variable which is dependent.
Therefore,the closest to the total cost if the firm uses 6,000 machine hours is $2,945.95.
Learn more about regression analysis here:
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