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Artemon [7]
3 years ago
6

use benchmarks to determine the costomaryand metric units you would use to measure the height of your house. explain your answer

.
Mathematics
1 answer:
SVEN [57.7K]3 years ago
5 0
What are the words? there are no words being showed.
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Is the relationship shows by the data linear? If so, model the data with an equation.
Kipish [7]

Answer:

Yes, B

Step-by-step explanation:

Yes the data is linear because there is a constant rate of change.

For x or the input the rate of change is plus 2

For y or the output the rate of change is plus 4

y/x is your slope so 4/2=2

and the only equation with a slope of 2 is B


4 0
3 years ago
Can I have some help on these two math questions?
BigorU [14]
8. 1,728 i did 12×18÷2=108×32=345÷2= 1,728
8 0
3 years ago
Please help I'll give brainliest
Liula [17]

the answer is going to be 6.0

Step-by-step explanation:

1.5 + 1.5 = 3

3 + 3 = 6

6 0
3 years ago
Suppose that the data in a scatterplot are randomly located so that there is no relationship between x and y. Which of the follo
Sever21 [200]
I think you forgot to give the options along with this question. Based on my research and knowledge, i am answering the question and hope that the answer comes to your help. Zero correlation is the one that actually describes this situation correctly as "x" and "y" do not have any kind of relationship. I hope the answer comes to your help.
7 0
3 years ago
What eigen value for this matix <br> (1 -2)<br> (-2 0)
natali 33 [55]

You find the eigenvalues of a matrix A by following these steps:

  1. Compute the matrix A' = A-\lambda I, where I is the identity matrix (1s on the diagonal, 0s elsewhere)
  2. Compute the determinant of A'
  3. Set the determinant of A' equal to zero and solve for lambda.

So, in this case, we have

A = \left[\begin{array}{cc}1&-2\\-2&0\end{array}\right] \implies A'=\left[\begin{array}{cc}1&-2\\-2&0\end{array}\right]-\left[\begin{array}{cc}\lambda&0\\0&\lambda\end{array}\right]=\left[\begin{array}{cc}1-\lambda&-2\\-2&-\lambda\end{array}\right]

The determinant of this matrix is

\left|\begin{array}{cc}1-\lambda&-2\\-2&-\lambda\end{array}\right| = -\lambda(1-\lambda)-(-2)(-2) = \lambda^2-\lambda-4

Finally, we have

\lambda^2-\lambda-4=0 \iff \lambda = \dfrac{1\pm\sqrt{17}}{2}

So, the two eigenvalues are

\lambda_1 = \dfrac{1+\sqrt{17}}{2},\quad \lambda_2 = \dfrac{1-\sqrt{17}}{2}

5 0
3 years ago
Read 2 more answers
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