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Leona [35]
3 years ago
11

Bx=3y-9 what is the value of b

Mathematics
2 answers:
statuscvo [17]3 years ago
4 0

Answer:

I believe it is 6xy

Step-by-step explanation:

This is because we don't know the value of x and y but we know that 9-3 = 6

Helga [31]3 years ago
3 0

Answer: B= 3y-9/x

Step-by-step explanation:

You might be interested in
1) What is the GCF for the polynomial 4x3 - 2x2y?
Dafna1 [17]

(1)the GCF for the polynomial 4x^3 - 2x^2y

4x^3 = 2*2* x* x* x

2x^2y = 2*x*x*y

Greatest common factor  is 2*x*x = 2x^2

(2) the GCF for the polynomial 8x^4y + 6x^2y^2

8x^4y = 2*2*2*x*x*x*x*y

6x^2y^2 = 3*2*x*x*y*y

GCF is  2*x*x*y=2x^2y

(3) the GCF for the polynomial12x^3y^2 - 20x^5y^3

12x^3y^2 = 2*2*3*x*x*x*y*y

20x^5y^3=5*2*2*x*x*x*x*x*y*y*y

GCF is 2*2*x*x*x*y*y= 4x^3y^2

(4) the GCF for the polynomial -10x^3y^4 - 16x^5y^2

-10x^3y^4 =-2*5*x*x*x*y*y*y*y

-16x^5y^2=-2*2*2*2*x*x*x*x*x*y*y

GCF is -2*x*x*x*y*y= -2x^3y^2



3 0
3 years ago
Read 2 more answers
I need some help please and thank you ​
lukranit [14]
The answer is “ A.) $3.50 “
3 0
3 years ago
Can somebody answer my question answer ASAP
Elenna [48]

Answer:

what question

Step-by-step explanation:

I wanna help but I don't know what the question is sooo

6 0
3 years ago
Read 2 more answers
Apply the distributive property to factor out the greatest common factor. 21e+35 =21e+35
Tpy6a [65]
The answer is 7(3e+5)=7(3e+5)
7 0
3 years ago
What is a situation in which a polynomial model might make sense, and why?
ololo11 [35]

Answer and Step-by-step explanation:

Polynomial models are an excellent implementation for determining which input element reaction and their direction. These are also the most common models used for the scanning of designed experiments. It defines as:

Z = a0 + a1x1 + a2x2 + a11x12 + a22x22+ a12x1x2 + Є

It is a quadratic (second-order) polynomial model for two variables.

The single x terms are the main effect. The squared terms are quadratic effects. These are used to model curvature in the response surface. The product terms are used to model the interaction between explanatory variables where Є is an unobserved random error.

A polynomial term, quadratic or cubic, turns the linear regression model into a curve. Because x is squared or cubed, but the beta coefficient is a linear model.

In general, we can model the expected value of y as nth order polynomial, the general polynomial model is:

Y = B0 + B1x1 + B2x2 + B3x3 + … +

These models are all linear since the function is linear in terms of the new perimeter. Therefore least-squares analysis, polynomial regression can be addressed entirely using multiple regression

7 0
3 years ago
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