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3 years ago

If a donut shop sells a dozen donuts for $6.00, what would the cost of 9 donuts be at the same rate?

1 answer:

3 0

To solve this question, first we need to find out the price of a single donut.

12 donuts = $ 6.00
1 donuts = $6.00 / 12

1 donuts = $ 0.50

After that, we just need to multiply the price for a single donut with the required amount (9), which will be:

9 x $ 0.50 = $ 4.50 . . . . for 9 donuts

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"The spot price of the market index is $900. A 3-month forward contract on this index is priced at $930. What is the profit or l

Mademuasel [1]

Answer:

$10 profit

Explanation:

In this question, we are asked to calculate the profit or loss to a short position.

Firstly, we identify that the spot price of market index is $900.

Now, a three months forward contract equals a value of $930.

Raising the index to $920 at the expiry date is obviously a profit to the short position.

To calculate the profit here, we simply subtract the index at expiry date from the three months forward contract.

Mathematically, this is equal to $930-$920 = $10 profit

8 0

3 years ago

When an existing contract is replaced with an entirely new contract , it is called

Masja [62]

Answer:

novation

Explanation:

3 0

2 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

2 years ago

Does anyone have a perfect competition business example?

Nastasia [14]

Answer:

Perfect competition is a type of market structure where products are homogenous and there are many buyers and sellers. ... Whilst perfect competition does not precisely exist, examples include the likes of agriculture, foreign exchange, and online shopping.

Explanation:

3 0

3 years ago

A patent owner cannot exclude others from _____ his or her invention.

Elza [17]

I think it’s D I don’t know if I’m wrong or right but D sounds right

5 0

2 years ago