Answer:
i think that this the first step for meme domination and how it will be the future currency for the republic of the memers
and also a great leap for the dogs of the united doggys
we will not just take it to the moon but to mars as a meaing of human and dog friendship
Explanation:
dont take it to the moon put it in your closet for your childs to seal for lots of money
Answer:
They should operate Mine 1 for 1 hour and Mine 2 for 3 hours to meet the contractual obligations and minimize cost.
Explanation:
The formulation of the linear programming is:
Objective function:

Restrictions:
- High-grade ore: 
- Medium-grade ore: 
- Low-grade ore: 
- No negative hours: 
We start graphing the restrictions in a M1-M2 plane.
In the figure attached, we have the feasible region, where all the restrictions are validated, and the four points of intersection of 2 restrictions.
In one of this four points lies the minimum cost.
Graphically, we can graph the cost function over this feasible region, with different cost levels. When the line cost intersects one of the four points with the lowest level of cost, this is the optimum combination.
(NOTE: it is best to start with a low guessing of the cost and going up until it reaches one point in the feasible region).
The solution is for the point (M1=1, M2=3), with a cost of C=$680.
The cost function graph is attached.
The answer is B. Hope this helps.
The high and low levels of activity are 90,000 miles in April and 50,000 miles in February. The costs at these two levels are $195,000 and $120,000, re-spectively. The difference in costs is $75,000 ($195000-120000), and the difference in miles is 40,000 (90000-50000). Therefore, variable cost per unit is $1.875computed as follows.
75000÷40000=1.875
Determine the fixed costs by subtracting the total variable costs at either the high or the low activity level from the total cost at that activity level
Variable cost=1.875×50,000=93,750
fixed cost=120,000−93,750=26,250