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2 years ago

HELPPPP

Mathematics

1 answer:

yawa3891 [41]2 years ago

3 0

Answer:

It 13

Step-by-step explanation:

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Which equation represents a proportional relationship between the x and y values?

Airida [17]

Answer:

D) $y=-2x$

Step-by-step explanation:

A linear relationship is of the form $y=mx+b$ , where, $m$ is the slope and $b$ is the y-intercept (constant).

For a proportional relationship, the value of $b=0$ and thus it is of the form $y=mx$

Let us check each option and express it in the form above.

Option A:

$y=2$

This can be written as $y=0x+2$ . So, $b\ne 0$ .

Since, b \ne 0, therefore, it is not a proportional relationship.

Option B:

$y=14x+1$

Here, $b=1$ . So, $b\ne 0$ .

Since, b \ne 0, therefore, it is not a proportional relationship.

Option C:

$y=x-4$

Here, $b=-4$ . So, $b\ne 0$ .

Since, b \ne 0, therefore, it is not a proportional relationship.

Option D:

$y=-2x$

This can be rewritten as $y=-2x+0$

There is no y-intercept on this. So, $b=0$

Since, $b = 0$ , therefore, it is a proportional relationship.

Therefore, the correct option is D.

8 0

3 years ago

Read 2 more answers

I need to know how to get the answer and what the answer is

Vedmedyk [2.9K]

(Can't really explain it... hopefully these steps can help you.. maybe I'm just too lazy..)

2h^3j^-3k^4
-----------------
3jk

2h^3k^4
= -------------
3j^4k

2h^3k^3
= --------------
3j^4

8 0

3 years ago

(r + 14x + 55x + 48) \(x + 6)

balu736 [363]

Answer:

r + 69x + 48 / x + 6

Step-by-step explanation:

3 0

2 years ago

In a New York coupon experiment, the experiment was conducted to test the effects of the face value of coupons on the likelihood

steposvetlana [31]

Answer:

The correct approach will be "the likelihood of cashing the coupon".

Step-by-step explanation:

That what's being examined as well as calculated throughout the experiment or observational study seems to be the dependent variable (almost always widely recognized as that of the responding variable). As a consequence of the modifications to something like the independent variable, that's what modifications.
Whether large you are really at various ages would be an illustration of some kind of dependent variable.

5 0

2 years ago

The employees of two companies were asked how many times they checked their email during weekends. The table below shows the num

tekilochka [14]

Q1 of company A = 2.5
Q3 of company A = 8
Interquatile range = (Q3 - Q1)/2 = (8 - 2.5)/2 = 5.5/2 = 2.75

Q1 of company B = 2
Q3 of company B = 5.5
Interquatile range = (5.5 - 2)/2 = 3.5/2 = 1.75

Therefore, t<span>he interquartile range for Company A employees is 2 more than the interquartile range for Company B employees.</span>

3 0

2 years ago

Read 2 more answers