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1 year ago

2.1 Choose/identify FIVE businesses and conduct research on the CSI projects and

Business

1 answer:

Ksivusya [100]1 year ago

5 0

The FIVE businesses that CSI projects have be research on are:

Education business sector
Health business sector
Food security and agriculture business sectors.
Safety business
Skill development business

<h3>
What is the Outline the CSI projects that businesses use to support the local community?</h3>

They are:

Business improves Schools in my communities through the aid of aiding them with better educational facilities.
Business also provides some Job opportunities for the unemployed individuals in the communities.
Businesses do contribute to the community via employee volunteering (EV).

<h3>The ways that business can contribute a lot of time and effort to improving the well-being of employees are:</h3>

Education business sector - Provide scholarship
Health business sector - provide free eye care services and medical aids.
Food security and agriculture business sectors - free fertilizer distribution to local communities
Safety business - creation of billboards with safety tips as well as safety education
Skill development business - organizing of skill acquisition program for local communities.

Learn more about CSI projects from

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George and Dan's political consulting firm is losing money, but it is more than covering its variable costs. What is the most ac

aniked [119]

Answer:

- It will go out of business in the long run.

Explanation:

If George and Dan's political consulting firm is losing money, but it is more than covering its variable costs, then the most accurate statement we can make about it is that: It will go out of business in the long run.

In the SHORT RUN, as long as the firm is covering variable costs, it means that the firm is able to generate normal profit or contribution that takes care of part or all of its fixed costs. It will stay in business

<u>In the LONG RUN, the firm will only continue to operate if it can make normal profits</u>

<u>Normal profit occurs when the difference between a company's total revenue and combined explicit and implicit costs are equal to zero.</u>

<u>Since George and Dan's political consulting firm cannot cover fixed costs, it will go out business in the long run.</u>

3 0

3 years ago

Kramer company started its production operations on August 1st. During August, the printing Department completed 17,600 units. T

Dima020 [189]

Answer:

Costs of goods transferred out is $ 785,840

Value of ending inventory is $26,268

Explanation:

The equivalent units of material cost is computed thus:

Completed units 17600*100% =17,600

Ending inventory 4,400*80% =3,520

Equivalent units 21,120

material unit cost =Accumulated materials cost/equivalent units

material unit cost=$45,408/21,120

=$2.15

Equivalent units of conversion cost is calculated thus:

Completed units 17,600*100%= 17,600

Ending inventory 4,400*10% = 440

Equivalent units 18,040

Conversion unit cost=Conversion costs/equivalent units

=$766,700/18,040

=$42.5

Cost of goods transferred out:

Material costs 17,600*100%*$2.15 =$37,840

Conversion costs 17,600*100%*$42.5 =$ 748,000

Total costs $ 785,840

Costs of ending inventory:

Material costs 4,400*80%*$2.15 = $7,568

Conversion costs 4,400*10%*$42.5 =$18,700

Total cost $26,268

7 0

3 years ago

Let x be per capita income in thousands of dollars. Let y be the number of medical doctors per 10,000 residents. Six small citie

MAVERICK [17]

Answer:

The percentage of variation esplained by the model is given by the determination coefficient, on this case:

$R^2 = 0.934^2 =0.872$

And we have 87.2% of the variation explained by the linear model given.

$\hat y = 5.756(8.5) -36.895=12.031$

And we have 12.031 doctors per 10000 residents.

Explanation:

Assuming the following dataset:

x y

8.6 9.6

9.3 18.5

10.1 20.9

8.0 10.2

8.3 11.4

8.7 13.1

Assuming this question: "The data has a correlation coefficient of r = 0.934. Calculate the regression line for this data. What percentage ofvariation is explained by the regression line? Predict the number of doctors per 10,000 residents in a town with a per capita income of $8500."

We want a linear model like this:

$y = mx +b$

Where m represent the slope and b the intercept for the linear model. And we cna find the slope and b with the following formulas:

$m = \frac{n \sum xy - \sum x \sum y}{n \sum x^2 -(\sum x)^2}$

$b = \frac{\sum y}{n} -m \frac{\sum x}{n}$

And from the dataset we have the following values:

$n= 6, \sum x =53, \sum y = 83.7 , \sum xy = 755.89, \sum x^2 = 471.04$

And replacing into the equation for m we got:

$m =\frac{6(755.89) - (53)(83.7)}{6(471.04) -(53)^2}=5.756$

And the intercept:

$b = \frac{83.7}{6}-36.895 5.756 \frac{53}{6}=-36.895$

And then the linear model is given by:

$\hat y = 5.756 x -36.895$

We can find the estimation replacing x = 8.5 into the linear model and we got:

$\hat y = 5.756(8.5) -36.895=12.031$

And we have 12.031 doctors per 10000 residents.

The percentage of variation esplained by the model is given by the determination coefficient, on this case:

$R^2 = 0.934^2 =0.872$

And we have 87.2% of the variation explained by the linear model given.

4 0

3 years ago

You invest $100 in a risky asset with an expected rate of return of 0.21 and a standard deviation of 0.21 and a T-bill with a ra

WARRIOR [948]

Answer:

-0.4242

Explanation:

Ra = 0.21 or 21%

Rf = 0.045 or 4.5%

Rp = 0.28 or 28%

Expected return on a portfolio is weighted average return of its assets :

Rp = Rf*(1-w) + Ra*w

28 = 4.5*(1-w) + 21*w

28 = 4.5 - 4.5w + 21w

28 - 4.5 = 21w - 4.5w

21w - 4.5w = 28 - 4.5

16.5w = 23.5

w = 23.5/16.5

w = 1.4242

Hence, weight of risky asset = 1.4242

So, Weight of risk free asset = 1 - 1.4242

Weight of risk free asset = -0.4242

5 0

3 years ago

"For an investor seeking a tax sheltered investment, the primary advantage of a real estate direct participation program is the:

evablogger [386]

Answer:

ability of the program to generate losses for tax purposes but provide positive cash flow.

Explanation:

5 0

3 years ago