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galina1969 [7]
3 years ago
9

What is the impact of an increase in worker productivity when demand is relatively more​ elastic?

Business
1 answer:
Varvara68 [4.7K]3 years ago
7 0

Answer:

The revenue of the firm will increase.

Explanation:

An increase in worker productivity will cause an increase in the level of output as the firm will be able to produce more by using the same amount of labor.

The supply of the curve will move to the right. The supply of the firm will increase. This will cause a decrease in the price of the product.

If the demand is relatively more elastic, the proportionate decrease in price will cause a more than proportionate increase in the demand for the product.

As a result, the total revenue of the firm will increase.

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a manufacturing company has a beginning finished goods inventory of 15,100, raw material purchases of 18,500, cost of goods manu
galben [10]

Answer:

$30,300

Explanation:

cost of goods sold = opening inventory + cost of goods manufactured - closing inventory

                               = $15,100 + $33,500 - $18,300

                               = $30,300

The cost of goods sold for this company is $30,300

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Assume you have noted the following prices for books and the number of pages that each book contains.Book Pages (x) Price (y)A 5
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a) $y=0.00991 x+1.042$b) $r^2=0.7503^2=0.563$\\C) $r=\frac{7(30095)-(4210)(49)}{\sqrt{\left[7(2595100)-(4210)^2\right]\left[7(354)-(49)^2\right]}}=0.7503$

x: 500, 700, 750, 590 , 540, 650, 480

y: 7.00, 7.50 , 9.00, 6.5, 7.50 , 7.0, 4.50

We want to create a linear model like this :

$$y=m x+b$$

Where

$$m=\frac{S_{x y}}{S_{x x}}$$

And:  

$$\begin{aligned}& S_{x y}=\sum_{i=1}^n x_i y_i-\frac{\left(\sum_{i=1}^n x_i\right)\left(\sum_{i=1}^n y_i\right)}{n} \\& S_{x x}=\sum_{i=1}^n x_i^2-\frac{\left(\sum_{i=1}^n x_i\right)^2}{n}\end{aligned}$$

With these we can find the sums:  

$$\begin{aligned}& S_{x x}=\sum_{i=1}^n x_i^2-\frac{\left(\sum_{i=1}^n x_i\right)^2}{n}=2595100-\frac{4210^2}{7}=63085.714 \\& S_{x y}=\sum_{i=1}^n x_i y_i-\frac{\left(\sum_{i=1}^n x_i\right)\left(\sum_{i=1}^n y_i\right) n}{=} 30095-\frac{4210 * 49}{7}=625\end{aligned}$$

And the slope would be:  

m=\frac{625}{63085.714}=0.00991

Now we can find the means for x and y like this:

$$\begin{aligned}& \bar{x}=\frac{\sum x_i}{n}=\frac{4210}{7}=601.429 \\& \bar{y}=\frac{\sum y_i}{n}=\frac{49}{7}=7\end{aligned}$$

And we can find the intercept using this:

$$b=\bar{y}-m \bar{x}=7-(0.00991 * 601.429)=1.042$$

And the line would be:

$$y=0.00991 x+1.042$$

Part b

The correlation coefficient is given by:

r=\frac{n\left(\sum x y\right)-\left(\sum x\right)\left(\sum y\right)}{\sqrt{\left[n \sum x^2-\left(\sum x\right)^2\right]\left[n \sum y^2-\left(\sum y\right)^2\right]}}

For our case we have this:

$$\begin{aligned}& \mathrm{n}=7 \sum x=4210, \sum y=49, \sum x y=30095, \sum x^2=2595100, \sum y^2=354 \\& r=\frac{7(30095)-(4210)(49)}{\sqrt{\left[7(2595100)-(4210)^2\right]\left[7(354)-(49)^2\right]}}=0.7503\end{aligned}$$

The determination coefficient is given by:

$$r^2=0.7503^2=0.563$$

Part c

r=\frac{7(30095)-(4210)(49)}{\sqrt{\left[7(2595100)-(4210)^2\right]\left[7(354)-(49)^2\right]}}=0.7503

Learn more about regression line to visit this link

brainly.com/question/7656407

#SPJ4

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"what are the major factors customers use when selecting a restaurant to dine" at, and what is the relative importance of each o
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Answer:

The answer is "Choice First and third"

Explanation:

Please find the complete question in the attached file.

The higher wages will improve the productivity of workers in various ways, that are salary with the number of workers exceeds the cost of labor, in the fewer countries. It can be associated with both the poor diet and over-market wages in these environments can enable the workers of the company to remain fit and efficient. The fewer employees may decide to seek other employment opportunities when a business pays salaries just above the current market price. This elimination of employee sales will minimize company training costs because new employees need to be trained.

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3 years ago
During your presentation, why should you "listen" to your audience
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Because the audience needs that trust from you that you are presenting correct information, therefore you need to listen to them because they believe that they have correct information.
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