All categories

3 years ago

Find the missing factor 7s^2+25s+12=(s+3)()

Mathematics

1 answer:

Deffense [45]3 years ago

8 0

$7s^2+25s+12=\\
7s^2+21s+4s+12=\\
7s(s+3)+4(s+3)=\\
(s+3)(7s+4)$

It's 7s+4.

You might be interested in

what is the equation in point slope form of a line that passes through the point (–8,2) and has a slope of 1/2?

madam [21]

Y=1/2x+6

Y-2=1/2(x+8)
Then simplify and get y by itself

5 0

3 years ago

Write down an appropriate equation in order to determine x

Ulleksa [173]

Answer:

X+20° = 180°

or, X = 180°-20°

or, X = 160°

5 0

3 years ago

The least common multiply of 2, 5, 6 and 9 is

Lady bird [3.3K]

Answer:

The LCM of 5, 6, and 9 is the product of all prime numbers on the left, i.e. LCM(5, 6, 9) by division method = 2 × 3 × 3 × 5 = 90.

8 0

3 years ago

Read 2 more answers

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 <em>X</em> and <em>Y</em> 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

What is the value of g(9)?

ryzh [129]

I think B should be the answer

6 0

3 years ago