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lions [1.4K]
3 years ago
10

T/f the average company hears from over 96% of its unhappy customers. a. True b. False

Business
1 answer:
yuradex [85]3 years ago
8 0

A TRUE

Mark me as Brainliest if I'm correct.

Have an amazing few days this week .

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Yes! Assuming Economia's aggregate supply curve is upward sloping, when the aggregate demand curve shifts rightward, this will:
katovenus [111]

When the aggregate demand curve shifts rightward, this will increase Economia's real output and the price level.

<h3>What happens when the aggregate demand shifts rightward?</h3>

The aggregate demand curve is a curve that shows the total quantity of all goods and services demanded by the economy at different price levels. The aggregate demand curve slopes downward.

When  aggregate demand curve shifts to the right, there would be an increase in the real output and the price levels.

To learn more about the demand curve, please check: brainly.com/question/25140811

7 0
2 years ago
Ratzan Corporation uses a predetermined overhead rate based on machine-hours to apply manufacturing overhead to jobs. The Corpor
MaRussiya [10]

Answer:

$33.80 per hour

Explanation:

The computation of the predetermined overhead rate is shown below:

= Estimated manufacturing overhead ÷ machine hours

= ($71,000 + $12,100 + $54,900 + $14,000 + $17,000) ÷ (5,000 machine hours)

= $169,000 ÷ 5,000 machine hours

= $33.80 per hour

6 0
3 years ago
True or false: a fitted model with more predictors will necessarily have a lower training set error than a model with fewer pred
Hunter-Best [27]

Answer:

False. See expplanation below.

Explanation:

Training error by definition is the "error that you get when you run the trained model back on the training data."

False

Sometimes if we have more predictors than the neccesary we create bias and other problems like multicolinearity between the independnet variables. The idea is have a parsimonious model with the ideal number of variables and not with too much or too low variables.

For example we can have a linear model with just one predictor adjusted to the response variable perfect. And we can have another model with the same response variable but with 10 predictors with the same correlation and significance.

Always is important to understand the context of a problem in order to select the predictors to estimate the response variable in order to don't overestimate the number of parameters neccesary to use.

8 0
4 years ago
Consider the following data for a closed economy:
notsponge [240]

Answer: The answer is given below

Explanation:

a. . Private saving

Private saving=Y+TR-C-T

= $11t + $1t - $8t - $3t

= $12 trillion - $11 trillion

= $1 trillion

b. Public saving

Public Saving= T-G-TR

Since G is not given, we can use:

I = public saving + private saving

$2t = public savings + $1t

Public saving= $2 trillion - $1 trillion

Public savings = $1 trillion

c. Goverment purchases

Since public savings = T - G - TR

$1t = $3t - G - $1t

G = $3t - $1t - $1t

G = $3 trillion - $2 trillion

G = $1 trillion

d. The goverment budget deficit or budget surplus.

There is a budget surplus of $1 trillion which has been calculated in the public savings.

4 0
3 years ago
slytherin services, inc. granted 8 million of its $1 par common shares to executives subject to foreiture if employment is termi
hjlf

The total compensation cost pertaining to the restricted shares equals to the amount of $48 million.

<h3>What are compensation cost?</h3>

Also known as compensation expenses, include the recruiting costs, salaries, payroll taxes, benefits and bonuses. They form the significant part of a company's operating costs, which means that it affects corporate profitability.

According to the scenario, we will calculate the total compensation cost pertaining to the restricted shares by using following formula. Total Compensation Cost Pertaining to the Restricted Shares:

= Common Share × Market Price Per Share

= 8 million × $6

= $48 million

Read more about compensation cost

brainly.com/question/16258021

#SPJ1

8 0
1 year ago
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