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PolarNik [594]
3 years ago
7

This scenario is an example of how a shift in demand can be created by---

Business
1 answer:
tester [92]3 years ago
4 0

Answer:

D

Explanation:

I got this answer due to how the costumer preference had nothing to due with the price

You might be interested in
In EduTech, a software company, the views and suggestions of managers are considered unquestionable and employees never go again
tamaranim1 [39]

Answer:

Power Distance

Explanation:

Power Distance -

It refers to the distribution of the power and strengths within any organisation if referred to as power distance .

In most of the scenario the distribution of power is very unequal and unfair .

Most of the high power people tends to dominate over others and misuse their strengths in a very unfair manner .

Hence , from the given scenario of the question ,

The manager of the company has all the power and tends to dominate over others and others people tends not to go against his order .

Hence , the correct term is power distance .

8 0
3 years ago
An Engel curve:________.
creativ13 [48]

Answer:

A. slopes upward for normal goods and downward for inferior goods.

Explanation:

In the case of Engle curve it plots the relationship between income and demand for a good.

In the case of the normal goods, as the income rises the demand also rises while on the other hand in the case of inferior goods, the income rises the demand false

So it sloped upward for the normal goods and slop downwards for the inferior goods  

3 0
2 years ago
Each machine must be run by one of 19 cross-trained workers who are each available 35 hours per week. The plant has 10 type 1 ma
Mrac [35]

Answer:

The Linear programming model is given as below

Profit Function: P=90X+120Y+150Z

Constraints:

2X+2Y+Z\leq 400

3X+4Y+6Z\leq 240

4X+6Y+5Z\leq 320

\dfrac{2X+2Y+Z}{40}\leq 10

\dfrac{3X+4Y+6Z}{40}\leq 6

\dfrac{4X+6Y+5Z}{40}\leq 8

\dfrac{2X+2Y+Z}{35}+\dfrac{3X+4Y+6Z}{35}+\dfrac{4X+6Y+5Z}{35}\leq 19

Explanation:

As the question is not complete, the complete question is found online and is attached herewith.

Let the number of product 1 to be produced is X, that of product 2 is Y and product 3 is Z

so  the maximizing function is the profit function which is given as

P=90X+120Y+150Z

Now as the number of hours in a week are 40 and there are a total of 10 type 1 machines so the total number of machine 1 hours are 40*10=400 hours

As from the given table product 1 uses 2 machine hours of machine 1, product 2 uses 2 machine hours of machine 1 and product 3 uses 1 hour of machine 1 so

2X+2Y+Z\leq 400

Now as the number of hours in a week are 40 and there are a total of 6 type 2 machines so the total number of machine 2 hours are 40*6=240 hours

As from the given table product 1 uses 3 machine hours of machine 2, product 2 uses 4 machine hours of machine 2 and product 3 uses 6 hour of machine 2 so

3X+4Y+6Z\leq 240

Now as the number of hours in a week are 40 and there are a total of 8 type 3 machines so the total number of machine 3 hours are 40*8=320 hours

As from the given table product 1 uses 4 machine hours of machine 3, product 2 uses 6 machine hours of machine 3 and product 3 uses 5 hour of machine 3 so

4X+6Y+5Z\leq 320

Now as the machine 1 is used as 2X+2Y+Z in a week and the week is of 40 hours so the number of machines to be used are given as

\dfrac{2X+2Y+Z}{40}\leq 10

Now as the machine 2 is used as 3X+4Y+6Z in a week and the week is of 40 hours so the number of machines to be used are given as

\dfrac{3X+4Y+6Z}{40}\leq 6

Now as the machine 3 is used as 4X+6Y+5Z in a week and the week is of 40 hours so the number of machines to be used are given as

\dfrac{4X+6Y+5Z}{40}\leq 8

Now the workers are available for 35 hours so the worker available at the machine 1 is given as

\dfrac{2X+2Y+Z}{35}

That of machine 2 is given as

\dfrac{3X+4Y+6Z}{35}

That of machine 3 is given as

\dfrac{4X+6Y+5Z}{35}

As the total number of workers is 19 so the constraint is given as

\dfrac{2X+2Y+Z}{35}+\dfrac{3X+4Y+6Z}{35}+\dfrac{4X+6Y+5Z}{35}\leq 19

So the Linear programming model is given as below

Profit Function: P=90X+120Y+150Z

Constraints:

2X+2Y+Z\leq 400

3X+4Y+6Z\leq 240

4X+6Y+5Z\leq 320

\dfrac{2X+2Y+Z}{40}\leq 10

\dfrac{3X+4Y+6Z}{40}\leq 6

\dfrac{4X+6Y+5Z}{40}\leq 8

\dfrac{2X+2Y+Z}{35}+\dfrac{3X+4Y+6Z}{35}+\dfrac{4X+6Y+5Z}{35}\leq 19

4 0
3 years ago
How can you differentiate between various economic systems that exist
liubo4ka [24]

Answer:

An economic system is defined by the way scarce resources are distributed in an economy.

There are 4 types of major economic systems which are following;

  1. A mixed economy is an economic system, like its name is a mix of elements of planned economies, free markets with intervention of the state and public enterprises.
  2. A command economy is a system where the government is key decision maker of what goods and services will be produced and introduced by the economy.
  3. A market economy is the one in which the investment, production and distribution are dictated by the forces of demand and supply.
  4. A traditional economic system is a result of customs, history and cultural norms which include the rules and manner of their distribution as well.
3 0
3 years ago
A realtor is trying to predict the selling price of houses in Greenville (in thousands of dollars) as a function of size (measur
astraxan [27]

Answer:

a. The estimated coefficient for size is approximately <u>13.81</u>.

b. In the regression, two predictors are used. These two predictors are size and fireplace (FP).

Explanation:

a. The estimated coefficient for size is approximately _____.

Estimated coefficient for size = Standard Error of size * t-Stat of size =  1.2072436 * 11.439 = 13.81

Therefore, the estimated coefficient for size is approximately <u>13.81</u>.

b. How many predictors (independent variables) were used in the regression?

Independent variables can be described as variables that are changed or manipulated in order to measure the effect of their changes on the dependent variable. Independent variables are therefore also called predictors because they employed to predict the dependent variable.

In the regression, two predictors are used. These two predictors are size and fireplace (FP).

8 0
3 years ago
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