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andrew11 [14]
3 years ago
7

Write an equivalent expression for c + c + c + c

Mathematics
2 answers:
JulijaS [17]3 years ago
8 0

Answer:

c^4 or c x 4

Step-by-step explanation:

wel3 years ago
5 0

Answer:

c4 or c x 4

Step-by-step explanation:

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Right AABC has coordinates A(-7, 3), B(-7, 10), and C(-1,3). The triangle is reflected
elixir [45]

Answer:

A'(7, - 3 )

Step-by-step explanation:

Under a reflection in the x- axis

a point (x, y ) → (x, - y ), thus

A(- 7, 3 ) → (- 7, - 3 )

Under a reflection in the y- axis

a point (x, y ) → (- x, y ), thus

(- 7, - 3 ) → A'(7, - 3 )

5 0
4 years ago
What is the result when 12a + (-8b) is subtracted from 24a + 10b
Sever21 [200]

Hello from MrBillDoesMath!

Answer:

 12a + 18b


Discussion:

The question asks us to calculate

24a + 10 b  -  (12a - 8b)       =>   (combine common terms)

(24a - 12a) + ( 10b + 8b)      =>   ( as - (-8b) = + 8b)

12a + 18b



Regards,  

MrB


7 0
3 years ago
Can someone help me plss
RUDIKE [14]

Answer:

159

Step-by-step explanation:

Based on process of elimination, it cant be 51 nor 55 because that angle is 100% bigger than 90 degrees. To find it correctly, all you would do is add them. 105 + 54= 159

4 0
3 years ago
Question in pic above
Furkat [3]

Answer:

For what amount of calling do the two cost the same?

answer:

plan A: 89 minute

plan B: 105 minutes

what is the cost when the two plans cost same?

answer:

36 costs when two plans cost the same

Step-by-step explanation:

hope it helps

#carryonlearning

mark me the brainliest plsss

3 0
3 years ago
Read 2 more answers
With regard to a​ regression-based forecast, the standard error of the estimate gives a measure of A. the variability around the
Travka [436]

Answer:

B. the variability around the regression line.

Step-by-step explanation:

The standard errors represents the distance (how sparse) the observed values fall from the regression line.

Standard errors for regression are measures of the spread of variables around the average (regression line)

The standard error is dependent on the standard deviation of the observations and the reliability of the test.

When the test is perfectly reliable, the standard error is zero and when unreliable, it is equal to the standard deviation of the observations.

8 0
3 years ago
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