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san4es73 [151]
3 years ago
13

Write an equation that could be used to solve the given problem: if twice a number is increased by 15 , the result is the same a

s when 10 is subtracted from the number.
Mathematics
2 answers:
Semmy [17]3 years ago
7 0
Equation 2X+15= X-10

X=-25
My name is Ann [436]3 years ago
5 0
2x+15=x-10 . It helps to read these problems out loud and then try to write out the equation :)
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3,50 degrees hope This heal
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What are the angles in degreees
ra1l [238]

Answer: A is 70 B is 45 and C is 50

Step-by-step explanation:

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Solve for x.<br><br> A. 37<br> B. 27<br> C. 30<br> D. 31
dexar [7]

Answer:

B

Step-by-step explanation:

The formula for finding the relationship between a secant and a tangent is

tangent length ^2 = external segment secant/full length of secant

In this case

60^2 = 48*(x + 48)                   Expand

3600 = 48*(x + 48)                  Remove the brackets/

3600 = 48x + 48^2                 Expand

3600 = 48x + 2304                Subtract 2304 from both sides

3600 - 2304 = 48x              

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8 0
2 years ago
is anyone willing to tutor me for free? I probably will just need help for a short bit because school is ending pretty soon and
dybincka [34]

Answer:

What math do you need help on?

Step-by-step explanation:

8 0
3 years ago
Read 2 more answers
(CO 6) If the linear correlation coefficient is -0.491, what is the
Sedbober [7]

The value of co-efficient of determination is 0.241.

<h3>What is the relationship between linear co-relation co-efficient and co-efficient of determination ?</h3>

The co-efficient of determination R² is similar to the linear correlation co-efficient.

We can think of co-relation of determination as a percentage. It gives us the data for how much percentage of data will fall within the linear co-relation.The higher the percentage the more data falls within.If the coefficient is 0.5 then 50% of data falls within the linear co-relation.

According to the given question

Linear correlation coefficient is -0.491

∴ Co-efficient of determination is (-.491)² which is equal to 0.241.

Learn more about Linear regression here :

brainly.com/question/14313391

#SPJ1

8 0
1 year ago
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