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oee [108]
3 years ago
9

Please help :)

Mathematics
1 answer:
GenaCL600 [577]3 years ago
5 0
You can say that the center is an arbitrary point at (x0, y0)

The distance from each point to the center is the same

d^2 = (x-x0)^2 + (y-y0)^2

Plug in each point into this equation (plug into x and y) and you have a 3x3 system that you can solve for x0 y0 which is the center and d which is the radius. Then you have the equation by putting these constants into the above equation.
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I don't understand math @ all please help
chubhunter [2.5K]
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3 years ago
Hiii please help i’ll give brainliest:)
djverab [1.8K]

Answer:

Geographic features of ancient Greece.

Step-by-step explanation:

Greece has all of those attributes.

6 0
2 years ago
What is the probability of picking an orange marble and flipping tails? ​ 1/7 1/14 2/14 8/14
vladimir2022 [97]

Answer:

Flipping tails would be 1/2 but how many marbles are there and how many orange ones are there?

Step-by-step explanation:

4 0
3 years ago
Read 2 more answers
Which list includes the lower extreme, the lower quartile, the median, the upper quartile, and the upper extreme for the data se
PtichkaEL [24]
Lower extreme- 8
Lower quartile- 20
Median- 30
Upper quartile- 35
Upper extreme- 42

Hope this helps!
7 0
2 years ago
What is the value of the correlation coefficient r of the data set?
enyata [817]

The correct option will be:  C) 0.84

<u><em>Explanation</em></u>

Formula for Correlation coefficient :

r= \frac{n(\Sigma xy)-(\Sigma x)(\Sigma y)}{\sqrt{[n\Sigma x^2-(\Sigma x)^2][n\Sigma y^2-(\Sigma y)^2]}}

First, for each point(x, y), we need to calculate x², y² and xy .

Then, we will find sum all x, y, x², y² and xy, which gives us Σx, Σy, Σx², ∑y² and Σxy

<em>(Please refer to the attached image for the table )</em>

Here we got, ∑x = 44 , ∑y = 183 , ∑x² = 362 , ∑y² = 6575 and ∑xy = 1480

'n' is the total number of data set, which is 7 here.

So, plugging those values into the above formula..........

r= \frac{n(\Sigma xy)-(\Sigma x)(\Sigma y)}{\sqrt{[n\Sigma x^2-(\Sigma x)^2][n\Sigma y^2-(\Sigma y)^2]}}\\ \\ r=\frac{7(1480)-(44)(183)}{\sqrt{[7(362)-(44)^2][7(6575)-(183)^2]}}\\ \\ r=\frac{10360-8052}{\sqrt{(598)(12536)}}\\ \\ r=\frac{2308}{\sqrt{7496528}}\\ \\ r=0.84

So, the value of the correlation coefficient is 0.84

4 0
3 years ago
Read 2 more answers
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