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2 years ago

Which equation results from adding the equations in this system? x + 6 y = 9. Negative x + 2 y = negative 15.

Mathematics

2 answers:

eimsori [14]2 years ago

8 0

Answer:

Its A on edge2020

Step-by-step explanation:

I just took the quiz:)

Lunna [17]2 years ago

5 0

Answer:

Step-by-step explanation:

x + 6y = 9

-x + 2y = -15

-------------------add

8y = - 6 <=== u see that the x terms cancel each other out

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5x+10=20 Another twist free points I have plenty to spare.

olasank [31]

Answer:

oui oui its x=2

Step-by-step explanation:

5x+10=20

5x=10

x=2

5 0

3 years ago

Read 2 more answers

At the start of the month Stephens saving account had a balance of 1624. He made a $420 withdrawal each week for four weeks. Dur

Debora [2.8K]

7 times 4 to find how many withdraws
that times 420 to find how much withdrawaled
600+600+1000=
that minus the third line

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2 years ago

a recipe that make 10 mini loaves of banana bread calls for 1 1/4 cups flour . how much flour is needed to make 2 dozens mini lo

asambeis [7]

Answer:

0.25 or 1/4

Step-by-step explanation:

2 x 1 1/4 = 2 x 1.25 = 2.5 or 2 1/2

2.5 divided by 10 = 1/4 or 0.25

5 0

2 years ago

Find m<1 A. 57 B. 123 C. 132 D. 93

Doss [256]

Step-by-step explanation:

$\angle 1$ is the exterior angle of the given $\triangle.$

Therefore, by remote exterior angle theorem.

$\therefore \: m \angle \: 1 = 60 \degree + 63\degree \\ \\ \huge \red{ \boxed{\therefore \: m \angle \: 1 = 123 \degree }}$

8 0

2 years ago

Suppose in this semester, our Exam 1 average was about 86 with an SD of about 10. Suppose the correlation between our Exam 1 and

Oduvanchick [21]

Answer:

the slope of the regression equation for predicting our Exam 2 scores from Exam 1 scores is 0.492

And the y-intercept of the regression equation for predicting our Exam 2 scores from Exam 1 is 33.688

Step-by-step explanation:

Given the data in the question;

mean X" = 86

SD σx = 10

Y" = 76

SD σy = 8.2

r = 0.6

Here, Exam 2 is dependent and Exam 1 is independent.

The Regression equation is

y - Y" = r × σy/σx ( x - x" )

we substitute

y - 76 = 0.6 × 8.2/10 ( x - 86 )

y - 76 = 0.492( x - 86 )

y - 76 = 0.492x - 42.312

y = 0.492x - 42.312 + 76

y = 0.492x + 33.688

Hence, the slope of the regression equation for predicting our Exam 2 scores from Exam 1 scores is 0.492

And the y-intercept of the regression equation for predicting our Exam 2 scores from Exam 1 is 33.688

4 0

2 years ago