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yaroslaw [1]
3 years ago
12

For this figure what is the value of X? How did you solve this?

Mathematics
1 answer:
Ivanshal [37]3 years ago
6 0

Answer:

x=60

Step-by-step explanation:

This is a parallelogram.

For a parallelogram,

sum of angles in one side is 180.

we know, in a parallelogram,

the consecutive angles are supplementary or

their sum is  180.

So, we get,

x+33+87=180

or, x+120=180

subtracting   120

x+120-120=180-120

or, x=60

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Brainliest reward if you get this right plus 20 points
SOVA2 [1]

Answer:

The equation of the relation ⇒ y=\frac{6x}{z}

y = 18

Step-by-step explanation:

∵ y ∝ x/z

∴ y = kx/z

∵ y = 18 , x = 15 and z = 5

∴ 18 = 15k/5 ⇒ 18 = 3k

∴ k = 18/3 = 6

∴ y = 6x/z

∵ x = 21 and z = 7

∴ y = (6 × 21)/7 = 18

3 0
3 years ago
Help me please ;-;-;-;-;​
USPshnik [31]

Answer:

y = -5

Step-by-step explanation:

7y - 5  = 9y + 10 + y

7y - 5 = 10y + 10

3y + 10 = -5

3y = -15

y = -5

5 0
3 years ago
Read 2 more answers
PLEASE HELP WILL GIVE BRAINLIEST PRECALC
nexus9112 [7]

Answer:

270^o  and   450^o

Step-by-step explanation:

Recall that \frac{\sqrt{2} }{2} is a value of the function cosine for the special angles: 135^o and  225^o, then:

\frac{x}{2} =135^o\\x=270^o\\or\\ \frac{x}{2} =225^o\\x=450^o\\

4 0
3 years ago
True or false 398+9 = 400+8
defon

Answer: False

Step-by-step explanation:

398 + 9 = 407

400 + 8 = 408

If the equation was 398 + 10 then yes it will be equal to 400 + 8

4 0
3 years ago
Consider the population regression of log earnings [Yᵢ, where Yᵢ= ln(Earningsᵢ)] against two binary variables:
puteri [66]

Answer:

A) allows the population effect on log earnings of being married to depend on gender

Step-by-step explanation:

The regression equation of a dependent variable based on two or more independent variables is of the form:

Y=b_{0}+b_{1}X_{1} +b_{2}X_{2}+b_{3}X_{1}X_{2}

Here,

<em>Y</em> = dependent variable

X_{1} and X_{2} = independent variables

X_{1}X_{2} = interaction term

b_{1},\ b_{2}\ and \ b_{3} = regression coefficients.

If there is a significant interaction effect present then this implies that the effect of one independent variable (X_{1} orX_{2} ) on the dependent variable (<em>Y</em>) differs every time with different value of the other independent variable  (X_{1} orX_{2} ) .

The provided regression equation is:

Y_{i}=\beta _{0}+\beta _{1}D_{1i}+\beta_{2}D_{2i}+\beta _{3}D_{1i}D_{2i}+u_{i}

Y_{i} = dependent variable

D_{1i} and D_{2i} = independent variables

In this case the interaction term is defined as follows:

The effect of being married on log earnings is dependent on different values of the variables D_{2i}, i.e. the gender of the i^{th}person.

Thus, the correct option is (A).

3 0
3 years ago
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