Answer: Budgeted Raw Material to be consumed in July.
Quantity Price per pound Total
10,200 $6 $61,200
Explanation:
As for the information provided, the material at month end in hand shall be:
20% of upcoming month's sale.
If in June at month end, the inventory in hand = 2,040 pounds of raw material.
Then, this represents 20% of total requirement of July.
Therefore, total requirement in July =
This basically means:
Total inventory required =
Quantity Price per pound Total
10,200 $6 $61,200
Answer: Im not doing the math but Option 2 is the better option
Explanation:
Because of the wealth effect, a rising aggregate price level "reduces" the purchasing power of wealth and therefore "reduces" the aggregate quantity of output demanded.
<h3>What is wealth effect?</h3>
According to the wealth effect, a behavioural economic hypothesis, customers will spend more money even if their income stays the same.
The effect of wealth effect on aggregate demand is-
- People will increase their consumption as their wealth rises. Thus, at lower price levels compared to higher price levels, the consumption component of aggregate demand will be stronger.
- A person's desire for inexpensive fast food is likely to decline as their income rises, but their desire for more costly steak may increase.
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Specialization in production will increase output.
As any specialization in production will be achieved by specialized labor or technology, both the factor will produce per unit time and gives a comparative advantage.
Specialization is a production method that focuses on the production of a limited range of goods for a company to achieve a higher level of efficiency.
The more they focus on their work, the more efficient they are in that work. This means less time and money is spent producing goods. In other words, you can produce more goods in the same amount of time and money.
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Answer:
Explanation:
a. In a regression equation expressed as y= a + bx, how is the letter b best described?
Here, b is the slope and best described as the estimate of the cost when there's a visit of an additional customer.
b. How is the letter y in the regression equation best described?
The letter y is the observed store cost for that particular month.
c. How is the letter x in the regression equation best described?
The letter x is the observed customer visit for that particular month.
d. Based on the data derived from the regression analysis, what are the estimated costs for 370 customer-visits in a month?
The estimated cost for 370 customer visit will be:
Y = a + bx
where,
a =$1496
b = $2.08
x = 370 customer visit
Y = $1496 + ($2.08 × 370 customer visit)
= $1496 + $769.6
= $2265.6
e. What is the percent of the total variance that can be explained by the regression equation?
The percent of total variance which the regression equation explain will be:
R2 = 0.86814 or 86.814%