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kirill [66]
3 years ago
7

Find the missing number so that the equation has no solutions. x+20= – 4x+3

Mathematics
1 answer:
valkas [14]3 years ago
8 0

Answer: Its 3x

Step-by-step explanation:

I don't really know how to explain it.

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Evaluate.<br> 2³ ⁺ 4 · 2 ₋ 7<br> A. 1<br> B. 5<br> C. 9<br> D.36
jonny [76]

Answer:

2³ ⁺ 4 · 2 - 7 = 9

8 + 8 - 7 = 9

Step-by-step explanation:

4 0
3 years ago
six friends went to a basketball game. The price of admission per person was $x. four of the friends paid an extra $5 each for a
lesya692 [45]

Answer:

6x+20 or 2(3x+10)

Step-by-step explanation:

Six friends went to a basketball game and four people paid $5 extra for a t-shirt.  To find the total cost, multiply 6 by x and 4 by 5 this add them together:

6*x+4*5

6x+20, If needed you can factor this expression to:

2(3x+10)

7 0
3 years ago
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How much is 3 yards
nasty-shy [4]

Answer:

One yard is 3 feet so 3x3=9 9 feet

Step-by-step explanation:

Hope this helped and could really use brianliest

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3 years ago
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A machine produces
FrozenT [24]
275. I divided 440 by 48 and then multiplied the answer by thirty.
3 0
4 years ago
Use cubic regression to find a function that fits the following points.
olasank [31]

Answer:

The cubic regression that fits the points (x,y) =(-2,-16), (x,y) = (1,5), (x,y) = (3, 59) and (x,y) =(6,440) is y =2\cdot x^{3}+x+2.

Step-by-step explanation:

A cubic polynomial is a polynomial that has the following form:

y = a\cdot x^{3}+b\cdot x^{2}+c\cdot x + d (1)

Where:

x - Independent variable, dimensionless.

y - Dependent variable, dimensionless.

a, b, c, d - Coefficients, dimensionless.

We construct the following system of equations to determine the coefficients of the cubic regression:

(x,y) =(-2,-16)

-8\cdot a +4\cdot b -2\cdot c + d = -16 (1)

(x,y) = (1,5)

a+b+c+d= 5 (2)

(x,y) = (3, 59)

27\cdot a + 9\cdot b + 3\cdot c + d = 59 (3)

(x,y) =(6,440)

216\cdot a + 36\cdot b + 6\cdot c + d = 440 (4)

The solution of the system of linear equations is:

a = 2, b = 0, c = 1, d = 2

The cubic regression that fits the points (x,y) =(-2,-16), (x,y) = (1,5), (x,y) = (3, 59) and (x,y) =(6,440) is y =2\cdot x^{3}+x+2.

7 0
3 years ago
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