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2 years ago

What is the factorization of the trinomial below?

Mathematics

2 answers:

Ann [662]2 years ago

5 0

Answer:

O B. (2x+3)(x + 4)

Step-by-step explanation:

$2x^{2} +11x+12$

$2x^{2} +8x+3x+12$

$2x(x+4)+3(x+4)$

$(2x+3)(x+4)$

nikdorinn [45]2 years ago

4 0

It’s B. (2x+3)(x + 4)

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Please can i have some with the question attached thanks.

ozzi

Answer:

13/6

Step-by-step explanation:

6/13 * x = 1

Multiply each side by 13/6

6/13 * 1/3 6 * x = 1 * 13/6

x = 13/6

7 0

2 years ago

Simplify the expression where possible (4c^2)^3

Marina86 [1]

First, you would have to multiply the exponents 2 and 3. 2x3=6
so the most simplified answer would have to be 4c^6

6 0

2 years ago

Represent the following algebraically. A number, x, decreased by the sum of 2x and 5

sashaice [31]

The answer is x-(2x+5)

8 0

2 years ago

Simplify: 2x + 9 - 17x - 15 -x

Ostrovityanka [42]

Answer:

Step-by-step explanation:

2x + 9 - 17x - 15 - x =????

2x - 17x - x + 9 - 15 = 0

- 15x - x - 16 = 0

- 16x - 16 =0

-16x = 16

x = 16 / - 16

x = 1

6 0

2 years ago

What is the equation of the best-fitting regression line? Find this in two ways. First, using the regression analysis part of th

Lemur [1.5K]

Step-by-step explanation:

Regression analysis is used to infer about the relationship between two or more variables.

The line of best fit is a straight line representing the regression equation on a scatter plot. The may pass through either some point or all points or none of the points.

Method 1:

Using regression analysis the line of best fit is: $y=\alpha +\beta x+e$

Here α = intercept, β = slope and e = error.

The formula to compute the intercept is:

$\alpha =\bar y-\beta \bar x$

Here $\bar y$ and $\bar x$ are mean of the y and x values respectively.

$\bar y=\frac{\sum y_{i}}{n} \\\bar x=\frac{\sum x_{i}}{n}$

The formula to compute the slope is:

$\beta =\frac{\sum (x-\bar x)(y - \bar y)}{\sum (x=\bar x)^{2}}$

And the formula to compute the error is:

$e=y-\alpha -\beta x$

Method 2:

The regression line can be determined using the descriptive statistics mean, standard deviation and correlation.

The equation of the line of best fit is:

$(y-\bar y)=r\frac{\sigma_{x}}{\sigma_{y}} (x-\bar x)$

Here r = correlation coefficient = $r=\frac{Cov (x,y)}{\sqrt{\sigma^{2}_{x}\sigma^{2}_{y}} }$

$\sigma_{x}$ and $\sigma_{y}$ are standard deviation of x and y respectively.

$\sigma_{x}=\frac{1}{n}\sum (x-\bar x)^{2} \\\sigma_{y}=\frac{1}{n}\sum (y-\bar y)^{2}$

3 0

2 years ago