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pantera1 [17]
3 years ago
6

When output increase, the PPC of the economy

Business
1 answer:
Ede4ka [16]3 years ago
8 0

Costs of production to firms will fall. Costs decrease, profits increase, so firms plan to produce more, therefore AS shifts right. As both the AD and AS curves shift outward (to the right), this will result in an increase in real output GDP which is economic growth.

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A stock has a beta of 1.12 and an expected return of 10.8 percent. A risk-free asset currently earns 2.7 percent. a. What is the
love history [14]

Answer:

6.75%

Explanation:

Data provided in the question:

Beta of the stock = 1.12

Expected return = 10.8% = 0.108

Return of risk free asset = 2.7% = 0.027

Now,

Since it is equally invested in two assets

Therefore,

both will have equal weight = \frac{1}{2} = 0.5

Thus,

Expected return on a portfolio = ∑(Weight × Return)

= [ 0.5 × 10.8% ] + [ 0.5 × 2.7% ]

= 5.4% + 1.35%

= 6.75%

8 0
3 years ago
Jack is a self-employed contractor. He uses his Ford F250 in his business. He does not have another vehicle for personal use. He
miskamm [114]
C business mileage during the year to claim the standard mileage rate for the business
5 0
2 years ago
PLEASE HELP ME PLEASE!!! WORTH 100 POINTS
tatiyna

Answer:

12*48=$576,000,000,000

Explanation:

12 times 48=$576,000,000

8 0
3 years ago
Read 2 more answers
Pettit Ice Cream Company produces various ice cream products for which demand is highly seasonal. The company sells more ice cre
Rashid [163]

Answer:

a) Fixed costs = $22,000

b) $70,000

c) The high low cost method is generally inaccurate because it only considers the extremes, the highest and lowest costs and activity levels. Generally costs are not linear, but they might follow a certain tendency. The advantages of the high low cost method is that it is fairly accurate when costs are stable, plus it is much simpler to calculate.

d) Assuming that costs follow a certain tendency, regression analysis is much more exact since it analyses the relationship between different data and different variables. When you analyze only 2 variables, a linear regression analysis will serve you. but if you need to analyse more than two variables, then you must use a multiple regression analysis.

The R² statistic basically measures how one variable's variance is affected by other variables. E.g. if R² is 0.75, then 75% of the variance of A will be explained by the variance of B.

Explanation:

variable cost using high low cost method = (highest activity cost - lowest activity cost) / (highest activity level - lowest activity level) = ($82,000 - $46,000) / (50,000 - 20,000) = $36,000 / 30,000 gallons of ice cream = $1.20 per gallon of ice cream

fixed costs = $82,000 - (50,000 x $1.20) = $22,000

40,000 gallons

$22,000 + (40,000 x $1.20) = $70,000

how regression analysis improves accuracy of high low cost method

3 0
3 years ago
The term computer literacy dates back to what date?
stira [4]
The answer to this question is 1900s.
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