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Tatiana [17]
3 years ago
13

Please help can give brainliest

Mathematics
2 answers:
crimeas [40]3 years ago
6 0
  1. The answer is 92.03°
  2. First Look at what is given
  3. The opposite of <J is given, as well as the adjacent side
  4. Use Soh-Cah-Toa
  5. Toa (tangent) should be used since opposite(o) and adjacent (a) is given
DIA [1.3K]3 years ago
4 0

Answer:

you have to add them together

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Divide. (-5w^10+10w^8+5w^6)/(5w^5)
Veronika [31]
<span>(-5w^10+10w^8+5w^6)/(5w^5)
to divide we can factor out 5w^5 from the numerator
=[5w^5(-w^5+2w^3+w)]/(5w^5)
5w^5 will cancel out to have
=(-w^5+2w^3+w)
Hence
 Answer:</span>(-w^5+2w^3+w)<span>

</span>
3 0
4 years ago
Read 2 more answers
The equation p=100−4t represents the percent p of battery power remaining in an MP3 player after t hours.
fenix001 [56]

Answer:

Step-by-step explanation:

Here time (t) is the independent variable; power (p) is the dependent one.

The graph of p = 100 - 4t is a straight line with slope -4.  100 is the vertical intercept.  Battery power begins at 100 and steadily decreases after that.

6 0
4 years ago
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
If x + y = x, show that x = 1.​
Alexxx [7]
So first you would go 1+y=1 and the go 1+0=1
7 0
2 years ago
What is 3. 9 x 7. 1 because Im confused on what to do
lesantik [10]

Answer:

27.69

Do not worry about the decimal point until you get your answer.

Just multiply like there is no decimal at all.

When you do get your answer, count how many decimal places are after the decimal point. In this case, we have two decimal places.

3.9

7.1

x-----

I hope this helps!

4 0
2 years ago
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