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lidiya [134]
2 years ago
14

Help me quick with my assignment please thank u

Mathematics
1 answer:
nordsb [41]2 years ago
4 0
Answer is C. Hope this helped
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Solve 6x = 4x^2 using the quadratic formula
Oksi-84 [34.3K]
6's x = 0 and 4's x = 3/2 (put 3 over 2 so it marks as a fraction)

plz mark brainliest
7 0
3 years ago
(1) Ax + By = C (2) Dx + Ey = F Jim is trying to solve the system of equations. He begins by multiplying equation (1) by D and e
attashe74 [19]

Answer:

No, Angela is not correct.

As the method Jim was performing will also lead to the solution.

Step-by-step explanation:

We are given first equation as:

                  Ax + By = C

Second equation is:

                   Dx + Ey = F

Jim solved the equation as:

He begins by multiplying equation (1) by D and equation (2) by A.

and so by subtracting both the equations he will obtain a value of y.

and then put the y-value in any of the given two equations to obtain the value of x.

Angela Method:

you should have multiplied equation (1) by E and equation (2) by B.

and when she will subtract both the equations she will get the value of x first and then when she will put the value of x in any of the given equation she will obtain the value of y.

But both will get a value for x and y.

Hence, the method Jim was performing was also correct.

8 0
3 years ago
Read 2 more answers
The graph below shows the relationship between distance measured in yards and measured in meters.
Tcecarenko [31]

B. 4.5 meters

follow the graph until the X-axis hits 5 yards. Then see what Y value it's at.

3 0
2 years ago
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a. obtain the equation of the estimated regression line and use it to calculate a point prediction of ammonium concentration for
Alex Ar [27]

The  equation of the regression line is  \bar{y}=9.1006+(-0.2157)x and the point prediction of ammonium concentration for 25ml/h is  \bar{y}=3.7081

<h3>What is meant by regression line?</h3>

A regression line is an approximation of the line that describes the true, but unknown, linear connection between two variables. The regression line equation is used to predict (or estimate) the value of the response variable from a given value of the explanatory variable.

In statistical modeling, regression analysis is a collection of statistical techniques for estimating the associations between a dependent variable and one or more independent variables.

a) \bar{y}=β₀+β₁x

Where,

β₁=S_{xy}/S_{xx} -------(1)

Where,

S_{xy}= -341.959231

S_{xx}1585.230769

By substituting these values in equation 1 we get,

β₁= -0.2157

β₀= \bar{y}-β₁x

Where,

\bar{y}=∑y_{i}/n

∑y_{i}=52.8

n=13

Then,

\bar{y}=4.0615

\bar{x}=∑x_{i}/n

∑x_{i}=303.7

n=13

\bar{x}=23.3615

β₀=4.0615-(-0.2157)(23.3615)

=9.1006

Therefore, β₀=9.1006

The regression equation is  \bar{y}=9.1006+(-0.2157)x

If x=25,

\bar{y}=9.1006+(-0.2157)(25)

\bar{y}=3.7081

To know more about regression line, visit:

brainly.com/question/7656407

#SPJ4

7 0
1 year ago
PLEASE HELLLLLLLLLLLLLLP!
Vlad [161]

Answer:

What do you need ?.....

5 0
2 years ago
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