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2 years ago

. Chandra is buying music for $1 per song.

Mathematics

1 answer:

Zigmanuir [339]2 years ago

3 0

Answer:

7 songs

Step-by-step explanation:

it would be 7 songs because if you divide 14 by 2 you will end up with 7. The price of two songs are the price of one with a coupon therefore she has spent $14 for 7 songs.

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Hurry!!!!! Which statement about the dilation of these is true

leva [86]

Answer:

Step-by-step explanation:

For the image, you just multiply the numbers to find the sides

(4*2=8 5*2=10 3*2=6)

Then find out how you went from the preimage to the image.

4 * 2 = 8 etc.

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3 years ago

A delivery truck is transporting boxes of two sizes large and small. The combined weight of a large box and a small box is 80 po

Liula [17]

Answer:

small=15 large=40

Step-by-step explanation:

x=large box

y=small box

55 = x + y

50x + 55y = 2825

50x + 55( 55 - x) = 2825

50x + 3025 - 55x = 2825

0 = 55x - 50 x + 2825 - 3025

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2 years ago

What best describes the expression 6 over y?

Simora [160]

6 divided by some number.

4 0

3 years ago

Which distance is closer to 13 AB or CD

Dmitriy789 [7]

It’s CD because it’s a longer line

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2 years ago

Read 2 more answers

The production department of Celltronics International wants to explore the relationship between the number of employees who ass

Flura [38]

Answer:

(a) Shown below

(b) There is a positive relation between the number of assemblers and production.

Step-by-step explanation:

Let X = number of assemblers and Y = number of units produced in an hour.

(a)

Consider the scatter plot below.

(b)

Based on the scatter plot it can be concluded that there is a positive relationship between the variables X and Y, i.e. as the value of X increases Y also increases.

(c)

The formula to compute the correlation coefficient is:

$r=\frac{n\sum XY-\sum X\sum Y}{\sqrt{[n\sum X^{2}-(\sum X)^{2}][n\sum Y^{2}-(\sum Y)^{2}]}} }$

Compute the correlation coefficient between X and Y as follows:

$r=\frac{n\sum XY-\sum X\sum Y}{\sqrt{[n\sum X^{2}-(\sum X)^{2}][n\sum Y^{2}-(\sum Y)^{2}]}} }=\frac{(5\times430)-(15\times120)}{\sqrt{[(5\times55)-15^{2}][(5\times3450)-120^{2}]}} =0.9272$

Thus, the correlation coefficient is 0.9272.

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2 years ago