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krok68 [10]
3 years ago
6

I need help finding witch one is right

Mathematics
2 answers:
ArbitrLikvidat [17]3 years ago
4 0

Answer:

I believe it's B!

Step-by-step explanation:

y=mx+b

y intercept is b

slope is m

y intercept is positive 5

slope is down 2 to the right 3

y= -2/3x+5

Anna11 [10]3 years ago
4 0

Answer:

The answer is B.

Step-by-step explanation:

In a slope form equation, y = mx + b where m represents gradient and b is y-intecept. In the graph above, the line shows a negative gradient and the y-intercept is 5. So the possible option is B.

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Six times a number plus 4 is the same as the numver minus 11
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6x6=36+6=42-11 is 31
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Point G is on line segment{FH}
Angelina_Jolie [31]

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FG = 7

Step-by-step explanation:

5x+2+3x-1=9

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FG = 5(1)+2 = 7

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17/39 + 11/12 −( 5/12 + 4 /39 )
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Answer:

.83333333 or 5/6

Step-by-step explanation:

Make common denominator

204/468 + 429/468 = 633/468 - (195/468 + 48/468)

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All vectors are in Rn. Check the true statements below:
Oduvanchick [21]

Answer:

A), B) and D) are true

Step-by-step explanation:

A) We can prove it as follows:

Proy_{cv}y=\frac{(y\cdot cv)}{||cv||^2}cv=\frac{c(y\cdot v)}{c^2||v||^2}cv=\frac{(y\cdot v)}{||v||^2}v=Proy_{v}y

B) When you compute the product Ax, the i-th component is the matrix of the i-th column of A with x, denote this by Ai x. Then, we have that ||Ax||=\sqrt{(A_1 x)^2+\cdots (A_n x)^2}. Now, the colums of A are orthonormal so we have that (Ai x)^2=x_i^2. Then ||Ax||=\sqrt{(x_1)^2+\cdots (x_n)^2}=||x||.

C) Consider S=\{(0,2),(2,0)\}\subseteq \mathbb{R}^2. This set is orthogonal because (0,2)\cdot(2,0)=0(2)+2(0)=0, but S is not orthonormal because the norm of (0,2) is 2≠1.

D) Let A be an orthogonal matrix in \mathbb{R}^n. Then the columns of A form an orthonormal set. We have that A^{-1}=A^t. To see this, note than the component b_{ij} of the product A^t A is the dot product of the i-th row of A^t and the jth row of A. But the i-th row of A^t is equal to the i-th column of A. If i≠j, this product is equal to 0 (orthogonality) and if i=j this product is equal to 1 (the columns are unit vectors), then A^t A=I    

E) Consider S={e_1,0}. S is orthogonal but is not linearly independent, because 0∈S.

In fact, every orthogonal set in R^n without zero vectors is linearly independent. Take a orthogonal set \{u_1,u_2\cdots u_p\} and suppose that there are coefficients a_i such that a_1u_1+a_2u_2\cdots a_nu_n=0. For any i, take the dot product with u_i in both sides of the equation. All product are zero except u_i·u_i=||u_i||. Then a_i||u_i||=0 then a_i=0.  

5 0
3 years ago
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