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Anika [276]
3 years ago
10

What value of x satisfies the system of equations {2x+5y=35x=−10−15y? Enter your answer as the correct value for x, like this: 4

2
Mathematics
1 answer:
Nata [24]3 years ago
7 0

Answer:

x = 23

Step-by-step explanation:

2x + 5y = 35 * (-3) ------>  -6x -15y = -105 (A)

x = -10 - 15y -----> x + 15y = -10 (B)

(A) + (B)

-5x = -115

x = 23

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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
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