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LiRa [457]
3 years ago
11

124 is greater than or equal to x.

Mathematics
1 answer:
andrew11 [14]3 years ago
3 0

Answer:

x is a variable its value can be changed

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Which is the dependent variable in the function 4x²-5/6x-9=y
anzhelika [568]
The dependent variable is y
the dependent variable is usually isolated on one side of the equation

-hope that helps

8 0
3 years ago
Can someone help me with this?
baherus [9]

Answer:

18

Step-by-step explanation:

AB = AW + WB

But AW also equals WB because of the bisecting point

x + 6 = 3x

6 = 2x

x = 3

AW = 3 + 6 = 9

WB = 3(3) = 9

9 + 9 = 18°

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The difference between the observed value of the dependent variable and the value predicted using the estimated regression equat
Elenna [48]

Answer:

For this case we define the dependent variable as Y and the independent variable X. We assume that we have n observations and that means the following pairs:

(x_1, y_1) ,....,(x_n,y_n)

For this case we assume that we want to find a linear regression model given by:

\hat y = \hat m x +\hat b

Where:

\hat m represent the estimated slope for the model

\hat b represent the estimated intercept for the model

And for any estimation of the dependent variable \hat y_i , i=1,...,n is given by this model.

The difference between the observed value of the dependnet variable and the value predicted using the estimated regression equation is known as residual, and the residual is given by this formula:

e_i = y_i -\hat y_i , i=1,...,n

So the best option for this case is:

d. residual

Step-by-step explanation:

For this case we define the dependent variable as Y and the independent variable X. We assume that we have n observations and that means the following pairs:

(x_1, y_1) ,....,(x_n,y_n)

For this case we assume that we want to find a linear regression model given by:

\hat y = \hat m x +\hat b

Where:

\hat m represent the estimated slope for the model

\hat b represent the estimated intercept for the model

And for any estimation of the dependent variable \hat y_i , i=1,...,n is given by this model.

The difference between the observed value of the dependnet variable and the value predicted using the estimated regression equation is known as residual, and the residual is given by this formula:

e_i = y_i -\hat y_i , i=1,...,n

So the best option for this case is:

d. residual

7 0
3 years ago
Which of the following is not a congruence theorem or postulate A. ASA B. SSS C. SAS D. AAA
natka813 [3]

Answer:

D. AAA is not a congruence postulate

Step-by-step explanation:

6 0
3 years ago
What is the slope of the line represented by the equation y=4/5x-3?
SOVA2 [1]

Answer:

4/5

Step-by-step explanation:

4 0
3 years ago
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