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3 years ago

Please help i mark brainiliest

Mathematics

1 answer:

7nadin3 [17]3 years ago

6 0

Answer:

2: 15

3: 20

for the second chart

0: -2

2: 8

4: 18

6: 28

I hope this helped :))

i hope this is correct '~'

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Simplify: −√16x^2 , when x<0

Savatey [412]

Answer:

$-4|x|$

Step-by-step explanation:

To simplify :

$-\sqrt{16x^2}$ , when $x$

In order to simplify the given expression we will take the square root of the term inside the root.

The term in the square root are perfect squares (square of an integer), so, we can write them in square of the numbers.

⇒ $-\sqrt{(\pm4x)^2}$ [As $(\pm4x)^2=16x^2$ ]

On taking square root the square gets removed. So, we have,

⇒ $-(\pm4x)$

⇒ $-4|x|$

Since $x$ , so the value would be negative.

So, simplified answer is

$-4|x|$ (Answer)

3 0

3 years ago

. The estimate regression equation for a model involving two independent variables and 10 observations follows.y = 29.1270 + 0.5

beks73 [17]

Answer:

b) y = 289.815 when $x_1 = 180 \text{ and } x_2 = 310$

Step-by-step explanation:

We are given the following information in the question:

$y = 29.1270 + 0.5906x_1 + 0.4980x_2$

where y is the dependent variable,

$x_1, x_2$ are the independent variable.

The multiple regression equation is of the form:

$y = b_0 + b_1x_1 + b_2x_2$

where,

$b_0$ : is the intercept of the equation and is the value of dependent variable when all the independent variable are zero.

$b_1$ : It is the slope coefficient of the independent variable $x_1$ .

$b_2$ : It is the slope coefficient of the independent variable $x_2$ .

The regression coefficient in multiple regression is the slope of the linear relationship between the dependent and the part of a predictor variable that is independent of all other predictor variables.

Comparing the equations, we get:

$b_1 = 0.5906\\b_2 = 0.4980$

This means holding $x_2$ constant, a change of one in $x_1$ is associated with a change of 0.5906 in the dependent variable.

This means holding $x_1$ constant, a change of 1 in $x_2$ is associated with a change of 0.4980 in the dependent variable.

b) We have to estimate the value of y

$y = 29.1270 + 0.5906(180) + 0.4980(310) = 289.815$

3 0

3 years ago

The matrix 1 2 4(0 1 6/7 is being used to solve a system of equations. The solution to the system is

loris [4]

| 1 2 ||x| = |4| - | 3 -1 ||y| |6| -3 | 1 2||x| = |4| 
| 3 -1||y| |6| 

|-3 -6||x| = |-12| 
| 3 -1||y| |6 | 

| 0 -7 ||x| = | -6 | 
| 3 -1 ||y| | 6 | 

y = 6/7 

x = 16/7

5 0

3 years ago

Helppppp meeeeee:))))))))))))))))))))))))

Vikki [24]

Answer:yes

Step-by-step explanation:

is so yes so if the 50 it was the 40 so then they it yes

3 0

3 years ago

Read 2 more answers

Please don't answer if you don't know! I'm really behind on assignments right now and I'm trying to pull myself together and get

nataly862011 [7]