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2 years ago

ILL GIVE BRAINLIEST TO THE CORRECT ANSER BUT ANSWER ASAP

Mathematics

2 answers:

Grace [21]2 years ago

8 0

It would be between 12 and 13 as 12 squared is 144 and 13 squared is 169 and 151 falls between that

gulaghasi [49]2 years ago

4 0

Answer:

12 and 13

Step-by-step explanation:

I hope this helps! Have a lovely day!! :)

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3 years ago

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Use the given data to find the equation of the regression line. x 44 44 11 11 55 y 66 55 negative 1−1 negative 3−3 88 ModifyingA

Temka [501]

Answer:

$y=1.98 x -24.34$

Step-by-step explanation:

Assuming the following data

X: 44, 44, 11, 11, 55

Y: 66, 55, -1, -3, 88

We want to find a linear model $Y= mx +b$

For this case we need to calculate the slope with the following formula:

$m=\frac{S_{xy}}{S_{xx}}$

Where:

$S_{xy}=\sum_{i=1}^n x_i y_i -\frac{(\sum_{i=1}^n x_i)(\sum_{i=1}^n y_i)}{n}$

$S_{xx}=\sum_{i=1}^n x^2_i -\frac{(\sum_{i=1}^n x_i)^2}{n}$

So we can find the sums like this:

$\sum_{i=1}^n x_i =44+44+11+11+55=165$

$\sum_{i=1}^n y_i =66+55-1-3+88=205$

$\sum_{i=1}^n x^2_i =7139$

$\sum_{i=1}^n y^2_i =15135$

$\sum_{i=1}^n x_i y_i =10120$

With these we can find the sums:

$S_{xx}=\sum_{i=1}^n x^2_i -\frac{(\sum_{i=1}^n x_i)^2}{n}=7139-\frac{165^2}{5}=1694$

$S_{xy}=\sum_{i=1}^n x_i y_i -\frac{(\sum_{i=1}^n x_i)(\sum_{i=1}^n y_i)}{n}=10120-\frac{165*205}{5}=3355$

And the slope would be:

$m=\frac{3355}{1694}=1.98$

Nowe we can find the means for x and y like this:

$\bar x= \frac{\sum x_i}{n}=\frac{165}{5}=33$

$\bar y= \frac{\sum y_i}{n}=\frac{205}{5}=41$

And we can find the intercept using this:

$b=\bar y -m \bar x=41-(1.98*33)=-24.34$

So the line would be given by:

$y=1.98 x -24.34$

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3 years ago