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lutik1710 [3]
3 years ago
15

Please answer correctly !!!! Will mark Brianliest !!!!!!!!!!!!!!

Mathematics
2 answers:
ryzh [129]3 years ago
6 0

Answer:

2

Step-by-step explanation:

The scale factor is 2 because every aspect of figure a doubled.

MAVERICK [17]3 years ago
5 0

Answer:

<h2><u>2</u></h2>

Step-by-step explanation:

Figure B is 2 times the size of figure A

You can tell by counting the squares at the lines

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What is the inequality for this verbal description?
Hitman42 [59]

Answer:

A) d \geq 5s + 9

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2 years ago
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The product of 7/8 and 9/10 is greater then 9/10
kati45 [8]
No the product will be less than 9/10.
This can be easily seen if the fractions are converted into decimals.
The decimal form of the product of 7/8 and 9/10 is 0.867 while the decimal form of 9/10 is 0.9. Therefore, the product of 7/8 and 9/10 is not greater than 9/10
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3 years ago
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Use the following graph of the function f(x) = −3x4 − x3 + 3x2 + x + 3 to answer this question: graph of negative 3 x to the fou
Serggg [28]

Answer:

The average rate of change from x=0 to x=1 for f(x) is 0.

Step-by-step explanation:

We are given the function f(x)=-3x^{4}-x^{3}+3x^{2}+x+3.

Now, the rate average rate of change of a function from y=x_{1} to y=x_{2} is given by \frac{f(x_{2})-f(x_{1})}{x_{2}-x_{1}}.

As, we need the rate of change from x = 0 to x = 1.

So, we will find the values of f(0) and f(1).

i.e. f(0)=-3\times0^{4}-0^{3}+3\times0^{2}+0+3 i.e. f(0)  = 3

and f(1)=-3\times1^{4}-1^{3}+3\times1^{2}+1+3 i.e. f(1)=-3-1+3+1+3 i.e. f(1) = 3

Thus, the rate of change from x=0 to x=1 is \frac{f(1)-f(0)}{1-0} i.e.  \frac{3-3}{1-0} i.e. 0

Hence, the average rate of change from x=0 to x=1 for f(x) is 0.

7 0
3 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 <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.

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3 years ago
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