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bazaltina [42]
3 years ago
9

What is the measure of angle x? Enter your answer in the box. x =

Mathematics
1 answer:
densk [106]3 years ago
4 0

Answer:

12

Step-by-step explanation:

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Solve the inequality: 13 – n + 2n > 9
geniusboy [140]

Answer:

n > -4

Step-by-step explanation:

1) Combine like terms.

13 + n > 9

2) Isolate n. (subtract 13 from both sides)

n > -4

8 0
3 years ago
Sally is growing plants for a science experiment. Her fern grew 2 inches in 6 days, at the same rate how much can Sally expect t
Vinvika [58]
I’m pretty sure 3 inches because the days are going by threes and the inches are probably going by ones because it’s a 2:6 ratio which is also a 1:3 ratio and a 3:9 ratio.
4 0
3 years ago
What is BC?<br><br> Enter your answer in the box<br><br> _units
laiz [17]

Answer:

<h2>BC = 25</h2>

Step-by-step explanation:

It's an isosceles triangle (congruent angles ∠C ≅ ∠B).

Therefore AC = AB.

We have the equation:

4x+1=2x+23        <em>subtract 1 from both sides</em>

4x=2x+22       <em>subtract 2x from both sides</em>

2x=22          <em>divide both sides by 2</em>

x=11

Substitute the value of <em>x</em> to the expression BC = 3x - 8:

BC = 3(11) - 8=33-8=25

3 0
3 years ago
<img src="https://tex.z-dn.net/?f=%28%5Cfrac%7B7%7D%7B2%7D%5E%7B2%7D-%5Cfrac%7B3%7D%7B4%7D%5E%7B1%7D%29%2A%5Cfrac%7B1%7D%7B3%7D"
KIM [24]
The answer is = 7 11/12
7 0
3 years ago
Read 2 more answers
The correlation coefficient between two quantitative variables is approximately 0.6. What does the value of this correlation coe
murzikaleks [220]

Answer:

The model does not fits the data well.      

Step-by-step explanation:

Correlation:

  • Correlation is a technique that help us to find or define a relationship between two variables.
  • It is a measure of linear relationship between two quantities.
  • A positive correlation means that an increase in one quantity leads to an increase in another quantity
  • A negative correlation means with increase in one quantity the other quantity decreases.

R-square, R^2

  • The quantity R-squared is an indicator of the predictive power of a model.
  • It explains the variation in the dependent variable due to independent variable.
  • It shows how well the model fits the data.
  • R-squared is also known as the  coefficient of determination.

R^2 = \text{(Correlation coefficient)}^2= (0.6)^2 = 0.36 = 36\%

Therefore, only 36% of the variations in the dependent variable is explained by the independent variable in the model which means more than 50% of variation cannot still be explained in the dependent variable.

Hence, the model does not fits the data well.

8 0
4 years ago
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