Answer:
fixed cost = 11.026,6
Explanation:
we will use the High-Low method to sovle for variable and fixed component of utilities:
We subtract the high form the low
![\left[\begin{array}{ccc}High&2710&34712\\Low&2200&30255\\Diference&510&4457\\\end{array}\right]](https://tex.z-dn.net/?f=%5Cleft%5B%5Cbegin%7Barray%7D%7Bccc%7DHigh%262710%2634712%5C%5CLow%262200%2630255%5C%5CDiference%26510%264457%5C%5C%5Cend%7Barray%7D%5Cright%5D)
510 hours generates 4,457 cost in utilities.
so variable cost:
4,457 / 210 = 8.74
Then we solve for fixed cost:
total cost = variable cost x Q + fixed cost
34,712 = 8.74(2,710) + fixed cost
fixed cost = 11.026,6
Answer: The correct answer is "e. Export strategy".
Explanation: and. Export strategy is the global corporate strategy that best describes General products inc. because In spite of being in the United States and that the majority of its income comes from there, it does not stop focusing the business in Canada, because 10% of the income comes from exports to Canada.
Answer: All of the above
Explanation:
The Long run is a period of time where all the factors of production of a firm are variable. For example, a firm can establish a bigger factory. It takes a longer period of time than the short run.
John Maynard Keynes also believed that in the long run, we are all dead. Also, an economy will self-correct because shocks matter in the short run and not the long run. The self-correction mechanism talks about price adjustment. When there is a shock, prices will adjust and the economy will be brought back to the long-run equilibrium.
ANSWER:
Most small business ventures are in the low innovation/high risk category of the entrepreneurial strategy matrix.
~batmans wife
Answer:
About the Lagrangian method,
We can use it to solve both consumer's utility maximization and firm's cost minimization problems.
Explanation:
Lagrangian method is a mathematical strategy for finding the maxima and the minima of a function subject to equality constraints. Equality constraints mean that one or more equations have to be satisfied exactly by the chosen values of the variables. Named after the mathematician, Joseph-Louis Lagrange, the basic idea behind the Lagrangian method is to convert a constrained problem into a Lagrangian function.
