Well, to prove two triangles congruent by ASA, you have to figure out how two angles and a side of the triangles are congruent. So if you were to prove ∠R =∠U, and ∠T = ∠W, you would just have to prove that one of each of the sides were congruent. Sorry I couldn't help more.
Hope this helps! :)
Answer:
The line intercepts the y-axis and 
Step-by-step explanation:
The intersection on the y-axis of a line is found to be
.
That is, the intercept with the y-axis is the value of the function when x is equal to zero.
In this case we know the following points of the function:
x : -2 -1 0 1 2 3
y : 16 12 8 4 0 -4
Note that when
then
.
Therefore the line intercepts the y-axis and 
Answer:
262880
i had a test with the same question, i promise its right :)
Answer: y = -x/3 + 5
Step-by-step explanation:
What we know:
- Our points are (-3, 6) and (0, 5)
First, we need to find the slope. The formula for finding slope is y2 - y1/x2 - x1.
Now, we need to plug in our values.
5 - 6/0 - (-3)
Solve.
-1/3
Our slope is -1/3.
But now we need to find the y-intercept. To do this, we will use the equation y = mx + b.
You can use either coordinate pair, but I will be using (-3, 6) first.
Plug in the values.
6 = -1/3(-3) + b
Simplify.
6 = 1 + b
Subtract 1 to both sides.
6 - 1 = 1 - 1 + b
5 = b
The y-intercept is 5. Now we can put everything together!
y = -1/3x + 5
y = -x/3 + 5
For the coordinate (0, 5), you do the same thing.
5 = -1/3(0) + b
5 = 0 + b
5 = b
y = -1/3x + 5
y = -x/3 + 5
The type of polynomial that would best model the data is a <em>cubic</em> polynomial. (Correct choice: D)
<h3>What kind of polynomial does fit best to a set of points?</h3>
In this question we must find a kind of polynomial whose form offers the <em>best</em> approximation to the <em>point</em> set, that is, the least polynomial whose mean square error is reasonable.
In a graphing tool we notice that the <em>least</em> polynomial must be a <em>cubic</em> polynomial, as there is no enough symmetry between (10, 9.37) and (14, 8.79), and the points (6, 3.88), (8, 6.48) and (10, 9.37) exhibits a <em>pseudo-linear</em> behavior.
The type of polynomial that would best model the data is a <em>cubic</em> polynomial. (Correct choice: D)
To learn more on cubic polynomials: brainly.com/question/21691794
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