(Pls give brainliest! :D)
Answer:
<em>B</em>
Step-by-step explanation:
<em>You know that the graph intercepts at the point of (4,-2)</em>
<em />
<em>Where x = 4 and y = -2.</em>
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<em>This means that whenever you plug a value of x in the equation it should give the value of y.</em>
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<em>For example when you plug x= 4 into the equation (B), it should look like this.</em>
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<em>4- y = 6, solving for y gives us the value negative 2.</em>
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<em>This means that it does give us this point, however, as the graph shows us, both lines meet at the point which means that both equation should give us this point.</em>
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<em>If we substitute x = 4 in the second equation of b, we should be able to get 3(4) + 4y = 4. Solving for y gives us -2.</em>
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Hope this helps!
-<em>Yumi</em>
Answer:
Here's what I get.
Step-by-step explanation:
When you dilate an object by a scale factor, you multiply its coordinates by the same number.
If the scale factor is 4, the rule is (x, y) ⟶ (4x, 4y)
Your table then becomes

The diagram below shows figure VVXY as a green bow-tie and its image V'W'X'Y' in orange.
The scale factor is greater than one, so the dilation is an enlargement.
No, he is not right.
Integer is a number that can be written without a fractional component, and 1 3/4 doesn't.
Here's an image for you to better understand.
a.

is a proper joint density function if, over its support,
is non-negative and the integral of
is 1. The first condition is easily met as long as
. To meet the second condition, we require

b. Find the marginal joint density of
and
by integrating the joint density with respect to
:


Then


c. This probability can be found by simply integrating the joint density:


Answer:
13 grados es igual a 0.226893 radianes
Step-by-step explanation: