Answer:
The correct answer is option c.
Explanation:
In the production process, inputs such as raw materials, labor, machine, tolls, etc, are used to produce outputs. Among these factors, some are variable or can be changed in the short run while others are fixed or cannot be changed.
The cost incurred on the variable factors is called variable cost. It changes with the change in output level.
Among all the costs given above, the monthly wage payments to labor is a variable cost. It can be changed in the short run by changing the quantity of labor employed.
The rest of the costs such as property tax payments, insurance and, rent payments are fixed an do not change with the output level.
Answer:
C) deciding which market-entry strategy is best
Explanation:
- Global marketing is a marketing principle to satisfy the varied needs and the wants of different people living across the national borders and to undertake the marketing activity is more than one nation.
- Deciding in the market entry strategy is a must to focus on the target markets and creation and management and establishment of the contracts in a foreign nation.
- <u>The company that makes organic and landscape supplies should first decide which technique to apply as in order to get maximum benefits such as the economies of scale, lower market costs, ability to leverage ideas, benefits of e-marketing and helps to establish relationships with the political arenas.
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Options:
Semistructured decisions
Structured decisions
Strategic decisions
Unstructured decisions
Definition
Answer:Semistructured decisions
Explanation: Semistructured decisions are decisions that have elements of both structured and unstructured decisions, they are decisions that have some agreement on the data on the process, and or evaluation or analysis technique to be used. Semistructured decisions are also noted by efforts to retain some degree of human judgment in the decision making process.
MOST DECISION SUPPORT SYSTEMS ARE CLASSED AS SEMISTRUCTURED DECISIONS.
Answer:
linear regression
Explanation:
Linear regression quantifies the relationship between one or more predictor variable(s) and one outcome variable. Linear regression is commonly used for predictive analysis and modeling. For example, it can be used to quantify the relative impacts of age, gender, and diet (the predictor variables) on height (the outcome variable). Linear regression is also known as multiple regression, multivariate regression, ordinary least squares (OLS), and regression. This post will show you examples of linear regression, including an example of simple linear regression and an example of multiple linear regression.
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Answer:
At the end of the year the Peso Deposit is worth 100 US dollars.
Explanation:
When we open the account 1 dollar is worth 10 pesos. So when we exchange 100 dollars into pesos to open the account we have (100*10)= 1,000 Pesos in our account. The deposit pays us 20% interest rate so at the end of the year we have (1.20*1000) =1200 Pesos at the end of the year. When the year ends 1 dollar is worth 12 Pesos, so when we convert our Pesos into dollars we will have to divide them by 12
Dollars = 1200/12= 100
SO at the year the Peso Deposit is worth 100 US Dollars.