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2 years ago

How do you find y = x + 8. x + y = 2 in substitoun form

Mathematics

1 answer:

Arturiano [62]2 years ago

4 0

You plug in x + 8 for y in the second equation.
answer: x + x + 8 = 2

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Please answer this correctly without making mistakes I want ace expert and genius people to answer this correctly without making

sergejj [24]

Answer: 38

Step-by-step explanation: to evaluate an expression for these variables, plug in those numbers for the variables.

Plugging in -1 for y and -19 for z gets you this:

-2(-1)^2(-19)

Now simplify according to order of operations (PEMDAS - parenthesis exponents multiplication/division addition/subtraction)

-1^2 = 1

-2(1) = -2

-2(-19) = 38

Your answer is 38

7 0

2 years ago

Find a solution to the linear equation 13x+y=26

Anna11 [10]

Answer:

y = -13x+26

Step-by-step explanation:

13x+y=26

y= -13x+26

8 0

2 years ago

In circle Y, what is m∠1? 6° 25° 31° 37°

Korvikt [17]

9514 1404 393

Answer:

Step-by-step explanation:

Angles 1 and 2 are congruent. Each is half the sum of the subtended arcs:

∠1 = ∠2 = (37° +25°)/2 = 31°

5 0

3 years ago

Read 2 more answers

Joey fixes bicycles and charges a shop fee of $15 and $10 per hour for time worked. If t is the number of hours worked and C is

Bezzdna [24]

I beleive it is a because both variable could change

3 0

2 years ago

Please consider the following values for the variables X and Y. Treat each row as a pair of scores for the variables X and Y (wi

Studentka2010 [4]

Answer:

The Pearson's coefficient of correlation between the is 0.700.

Step-by-step explanation:

The correlation coefficient is a statistical degree that computes the strength of the linear relationship amid the relative movements of the two variables (i.e. dependent and independent).It ranges from -1 to +1.

The formula to compute correlation between two variables X and Y is:

$r(X, Y)=\frac{Cov(X, Y)}{\sqrt{V(X)\cdot V(Y)}}$

The formula to compute covariance is:

$Cov(X, Y)=n\cdot \sum XY-\sum X \cdot\sum Y$

The formula to compute the variances are:

$V(X)=n\cdot\sum X^{2}-(\sum X)^{2}\\V(Y)=n\cdot\sum Y^{2}-(\sum Y)^{2}$

Consider the table attached below.

Compute the covariance as follows:

$Cov(X, Y)=n\cdot \sum XY-\sum X \cdot\sum Y$

$=(5\times 165)-(30\times 25)\\=75$

Thus, the covariance is 75.

Compute the variance of X and Y as follows:

$V(X)=n\cdot\sum X^{2}-(\sum X)^{2}\\=(5\times 226)-(30)^{2}\\=230\\\\V(Y)=n\cdot\sum Y^{2}-(\sum Y)^{2}\\=(5\times 135)-(25)^{2}\\=50$

Compute the correlation coefficient as follows:

$r(X, Y)=\frac{Cov(X, Y)}{\sqrt{V(X)\cdot V(Y)}}$

$=\frac{75}{\sqrt{230\times 50}}$

$=0.69937\\\approx0.70$

Thus, the Pearson's coefficient of correlation between the is 0.700.

5 0

3 years ago