Solution:
The total cost for the company is the sum of its fixed cost and variable costs.
Corporate expenditures that do not depend on the amount of goods or services provided by the company are fixed costs.
Variable costs are expenses that change when changes occur in the sum of the good or service produced by a company.
C(x) = 90000 + 100x
C(110) = 90000 + 100 ( 110 )
C(110) = 90,000 + 11, 000 = 101,000
It costs $101,000 to produce 110 bicycles.
Answer:
the value of the project is $16,096.88
Explanation:
The computation of the value of the project is shown below:
= (Expected amount generated per year × (1 - (1 ++ rate of returm)^-time period )) ÷ rate of return
= $36,950 × [1 - 1.1^-6] ÷ 0.1
= $16,0926.88
Hence, the value of the project is $16,096.88
We simply applied the above formula so that the correct value could come
And, the same is to be considered
Answer:
$3,000,000 and 60%
Explanation:
The computation of the gross margin and the gross margin percentage is shown below:
Gross margin = Net sales - cost of goods sold
So,
= $5,000,000 - $2,000,000
= $3,000,000
And, the gross margin percentage is
= (Gross margin ÷ Sales) × 100
= ($3,000,000 ÷ $5,000,000) × 100
= 60%
All the other information i.e mentioned is not relevant. Hence, ignored it
Answer:
C. can cause hypothesis tests to be unreliable
Explanation:
Omitted variables are those variables that, when left out of a statistical model, for example linear regression, affects the outcome of the model. It either ignores the impact of the omitted variable to the results or it may assign the effect of the omitted variable incorrectly to the effect of the included variable on the statisical model. This of courses results in the model depicting an upward bias or a downward bias. This is referred to as the Omitted Variable Bias (OVB).
Lets take an example. If you were to run multiple regressions to figure out the factors that affect the prices of houses in an area, you would include multiple variables that you deem significant. The variables you would include in the regression model would include the age of the house, the size of the house, the number of rooms and so on and so forth. However, lets assume that some of the houses are located near an industrial waste plant which negatively impact the price of the house. You forget to include thos proximity variable in your model which would likely make your model biased since the proximity to a waste plant would drastically impact the price of a house that is similar in all aspects with a house that is located further away.
Furthermore, the aren't any statistical models that would located omitted variables therefore, in the context of the question, omitted variables can cause hypothesis tests to be unreliable
Answer:
Marketing as an entity generates awareness and demand for the product.
Explanation:
- Marketing of a product communicates about its brand value, its utility, and its performance. The four to seven P of marketing such as place, price, product, promotion, people, and physical evidence communicated through the advertisement, personal selling, brand endorsements, and PR events.
- For example, Starbucks coffee communicates the brand name logo, the price, the taste and communicates about the quality of the product. It delivers the message of high standards and a large market base and huge revenue to the clients.