<span>Linear regression is a method of finding the linear equation that comes closest to fitting a collection of data points.
</span>The better the choice of line, the closer the predicted values will be to the observed values.
The differences between the data pints (observed values) and the estimated (pedicted) regression line is called the <span>residue.
</span>Residue = Observed Value -<span> Predicted Value</span>
255.is the answer because of the 38 and the 48 percent of each of both the x and y and is you add then times them you get 255 as your answer
I can help but the picture does not load, for some reason it takes me to a page that says enter code. I have no idea what it is but i did not mess with it...
you might want to re-post a new picture just to be safe because that code thing might be something of yours thats personal
Answer:
7
Step-by-step explanation:
16x + 22 = 134 ..... because if the two lines are parallel alternative exterior angles are congruent
16x = 134 - 22
16x = 112
x = 7
hope it helps
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nCx⋅px⋅(1−p)n−x
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