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coldgirl [10]
4 years ago
13

I’d you could help I’d appreciate it

Mathematics
1 answer:
arlik [135]4 years ago
6 0

Answer:grater than 8 less than 9

Step-by-step explanation:

had the same question

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What is m∠BEC ?<br><br><br> Enter your answer in the box.
Stels [109]
We are able to set 4x+32 equal to 6x-8 because these are congruent vertical angles

4x+32=6x-8
4x+40=6x (add 8 to both sides)
40=2x (subtract 4x from both sides)
X=20 (divide both sides by 2)

Then we plug in 20 for x into 6x-8 to find the answer

6(20)-8
=120-8
=112

Hope this helps!
8 0
3 years ago
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Need the help asp!!!
Bond [772]

Answer:

It would be 8

Step-by-step explanation:

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150 is 96% of what number?<br> SHOW WORK:
goblinko [34]
96 / 150 = 0.64.

.64 x 100 = 64%
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In the diagram <br> What is m
lakkis [162]
M is going to be 24. hope this helps
8 0
3 years ago
When a dummy variable is included in a regression model that has one numerical independent variable, what assumption do you need
sukhopar [10]

Answer:

Step-by-step explanation:

You need to assume that the slope between the dependent Varian and the numerical independent variable is zero.

In regression analysis, to find the effect of one independent variable on the dependent variable, there has to be no interference from the other independent variables whether they be categorical (dummy) or numerical independent variables.

A dummy variable is one which takes on the value of 0 or 1, to represent the absence or presence (respectively) of a given category which is expected to influence the dependent variable.

When a dummy independent variable is included in a regression model, to know the effect of that dummy or category (e.g. day =1, night =0) on the dependent variable, the influence of the numerical independent variable has to be removed temporarily.

In a regression equation,

Y=a+bX+cK

Y is the dependent variable

a is the intercept on the vertical axis on the graph

b is the slope between the dependent variable Y and the independent numerical variable X

c is the slope between the dependent variable Y and the dummy variable K

3 0
3 years ago
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