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elena-s [515]
4 years ago
5

What type of angle is an 11° angle?

Mathematics
1 answer:
ch4aika [34]4 years ago
4 0

Answer:

An Acute Angle

Step-by-step explanation:

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Solve the problems. Write the complete proof in your paper homework and for online (only) respond to questions or statements (if
garri49 [273]

Answer:

AB=15  BD=18

Step-by-step explanation:

AB is 15 because AB=AC and AC is 15

BD:

Using the Pythagorean Theorem

10²+15²=√325

√325=18

10 is from AB-CD

15 is the height which is AC

6 0
3 years ago
What is the quotient of 20 divided by one fourth?
PSYCHO15rus [73]

Answer: 80 i think

Step-by-step explanation:

6 0
3 years ago
Consider the relation {(−5, 8), (4, −2), (4, 1), (3, 0)} . What integer is in the domain?
White raven [17]

Answer:

OPTION C:   - 5

Step-by-step explanation:

Domain of the function is the set of all possible values that the variable can take.

Let us say the function f(x) = x.

Then the set of all possible values that 'x' can take is called as Domain of the function.

The same definition applies to relation as well.

In the given relation Domain = {-5, 4, 4, 3}

Hence, OPTION C = - 5 is the correct answer,

4 0
3 years ago
Find the slope of the line going through the given pair of points.<br> (-4, 0) and (0, -3)
Lynna [10]

Answer:

Step-by-step explanation:

8 0
3 years ago
Read 2 more answers
Please answer all 3 questions
Sonja [21]

The residuals of the linear regression equation are 0.329, -0.346, 0.064, -0.326,  0.049, -0.286,  -0.161, 0.214, 0.429 and 0.059

<h3>How to determine the residuals?</h3>

The regression equation is given as:

y = 0.005x + 3.111

Next, we calculate the predicted values (y) at the corresponding x values.

So, we have:

y = 0.005 * 4 + 3.111 = 3.131

y = 0.005 * 3 + 3.111 = 3.126

y = 0.005 * 5 + 3.111 = 3.136

y = 0.005 * 3 + 3.111 = 3.126

y = 0.005 * 8 + 3.111 = 3.151

y = 0.005 * 15 + 3.111 = 3.186

y = 0.005 * 10 + 3.111 = 3.161

y = 0.005 * 15 + 3.111 = 3.186

y = 0.005 * 6 + 3.111 = 3.141

y = 0.005 * 6 + 3.111 = 3.141

The residuals are then calculated using:

Residual = Actual value - Predicted value

So, we have:

y = 3.46 - 3.131 = 0.329

y = 2.78 - 3.126 = -0.346

y = 3.2 - 3.136 = 0.064

y = 2.8 - 3.126 = -0.326

y = 3.2 - 3.151 = 0.049

y = 2.9 - 3.186 = -0.286

y = 3 - 3.161 = --0.161

y = 3.4 - 3.186 = 0.214

y = 3.57 - 3.141 = 0.429

y = 3.2 - 3.141 = 0.059

Hence, the residuals of the linear regression equation are 0.329, -0.346, 0.064, -0.326,  0.049, -0.286,  -0.161, 0.214, 0.429 and 0.059

See attachment for the residual plot.

The residual plot shows that the linear model from the regression calculator is a good model because the points are not on a straight line

Read more about residuals at:

brainly.com/question/16180255

#SPJ1

3 0
2 years ago
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