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Mila [183]
3 years ago
6

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

bove y with caretyequals=nothingplus+nothingx​ (Round to two decimal places as​ needed.)
Mathematics
1 answer:
Temka [501]3 years ago
4 0

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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