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Debora [2.8K]
3 years ago
7

What is the value of a good credit report to a borrower? A. A good credit report allows the borrower to spend as much as they wa

nt. B. A good credit report allows the borrower to borrow less money at a higher interest rate. C. A good credit report allows the borrower to borrow more money at a lower interest rate. D. all of the above
Mathematics
1 answer:
Alecsey [184]3 years ago
5 0
I think all of the above apply 
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In a bag, there are three red marbles, four blue marbles, two yellow marbles and three black marbles. What is the probability of
charle [14.2K]

Answer:

3/12 chance

Step-by-step explanation:

3 0
2 years ago
HELP ME PLEASE !!!!!!!!!
Kay [80]

Answer: 33 333,33 per month or 400 000 per year

Step-by-step explanation:

You need 48 000 + 0.035X = 62 000

So ( 62 000 - 48 000 ) / 0.035 = X

Then you can divide X per 12 (months in a year)

And you have your answer per month .

So 33 333,33 total sale per month to have at least as high as the average pay

5 0
2 years ago
I need help please?!!!
Sveta_85 [38]

Answer:

(-4,14)

(which you already choose)

Step-by-step explanation:

5 0
3 years ago
The graph of the function f(x) is shown. Which graph represents the function f(2x)
slava [35]

Answer:

It should be the top left graph  where there is point (1,1) and (-1, -1)  y = 1/x

Step-by-step explanation:

from the original graph, I see:

f(x) =  2/x    because  f(2) = 1 = 2/2

f(1/4)= 2/(1/4) = 2

...

so then  f(2x)  compresses f(x) horizontally by a factor of 2

so f(2x) =  2/(2x) = 1/x

8 0
3 years ago
An economist conducted a study of the possible association between weekly income and weekly grocery expenditures. The particular
kolezko [41]

Answer:

42.1% of variation in the response is explained by the regression line

Step-by-step explanation:

Correlation coefficient is a measure which tells us that how strongly are two variables under study are linearly related to each other i.e correlation coefficient gives the strength of linear association between the variables.

If the magnitude of correlation coefficient is closer to 1, it indicates a strong linear relationship. If the magnitude of correlation coefficient is closer to 0, it indicates a weak linear relationship.

There is another variable known as "Coefficient of Determination", which is equal to square of Correlation Coefficient. Coefficient of Determination tells us that what percentage of variation in the response of the study can be explained by the regression line.

This means, for this question we need to calculate the Coefficient of Determination.

Correlation coefficient = r = 0.649

Coefficient of Determination = R = r² = (0.649)²= 0.421 = 42.1 %

This means that 42.1% of variation in the response is explained by the regression line.

5 0
3 years ago
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