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Nostrana [21]
3 years ago
12

It is important for a good economic model to predict cause and effect so that it can: explain events that have occurred and help

anticipate future events. be used to predict all future events. be used to change the direction of causality. fit the real world perfectly.
Business
2 answers:
natka813 [3]3 years ago
6 0

Answer: Explain events that have occurred and help anticipate future events.

Explanation:

A good Economic model should be able to explain a phenomenon as well as proffer solutions to it and help anticipate the future.

It is normally said that for one to know where they are going, they need to know where they have been.

Without an Economic theory that explains what has happened and what must be done, humanity will stumble from one bad decision to another when dealing with Economic problems.

Imagine if there were no models to like the Economic Lifecycle to predict or at least to offer solutions to times the Economy goes through a Depression. Or imagine if the Central Bank (FED) didn't know what to do to help the Economy. Or if the US government didn't know when to impose more taxes or less.

Economic models NEED to explain events and predict the future.

liraira [26]3 years ago
5 0

Answer:

Yes it is

Explanation:

Because Prediction of cause and effect is important for the good economic model. If the economic model observe the cause and effect relationship, then it can be helpful to anticipate from the similar situation in future. For example, recession is causes recession. If the economic model observe it, then it can be helpful to control recession if t occurs in future.

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The average cost of tuition and room and board at a small private liberal arts college is reported to be $8,500 per term, but a
mojhsa [17]

Answer & Explanation:

The null hypothesis (H0) is what the study is trying to reject, is what the study wants to disprove. In this case, the financial administrator believes that the average cost of tuition and room is greater than $8,500. Then, he wants to statistically disprove that the average cost per term is equal to $8,500.

H0: average cost = $8,500

H0:μ=$8,500

The alternative hypothesis (H1) is the opposite, is what the financial administrator wants to prove: the average cost per term is greater than $8,500.

H1: average cost > $8,500

H1:μ>$8,500

3 0
3 years ago
Axle Corporation acquires​ 100% of Drexel​ Corporation's stock from​ Drexel's shareholders for​ $500,000 cash. Drexel Corporatio
kolbaska11 [484]

Answer:

$500,000 Axle​ Corporation's basis in the Drexel Corporation stock.

5 0
3 years ago
Read 2 more answers
A company uses cash to pay all of the following excepta. All of these choices are correct.b. interest to creditorsc. dividends t
never [62]

Answer:

d. depreciation expense

Explanation:

The expenses which are paid by cash reduced the cash balance displayed in the balance sheet . Like interest to creditors, stockholders dividend, wages expenses, miscellaneous expenses, admin expenses, etc. These expenses can be paid either by cash or by bank account .

But the depreciation expense is a non - cash expense which reduces the fixed asset balance over the fixed asset useful life. Plus this is shown in the income statement on the debit side. Like this other examples would be goodwill impairment, amortization expenses, etc.

3 0
3 years ago
The corporate charter of Imp Company authorized the issuance of 10 million, $1 par common shares. During 2021, its first year of
lesantik [10]

Answer:

Paid -in Excess capital as on December 31, 2021 $124 million

Explanation:

The computation of the amount reported as a additional paid-in capital  is shown below

For Jan 1, 8 million ×  $15              $120 million

For June 3, 2 million × $18              ($36 million)

For December 28, 2 million × $20  $40 million

Paid -in Excess capital as on December 31, 2021 $124 million

7 0
3 years ago
The application of multiple regression analysis to a data set yields an F statistic that is highly significant and t ratios that
dolphi86 [110]

Answer:

(B) multicollinearity is present.

Explanation:

Multicollinearity -

It is the process where , one of the predictor variable in the multiple regression model can be linearly predicted from the others with  the substantial degree of accuracy , is known as multicollinearity or  collinearity .

<u>In this case , the coefficient estimated of the multiple regression can change erratically for even a small change in the model .</u>

hence , from the question , the indication is of (B) multicollinearity is present .

6 0
3 years ago
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