<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>
Well take 11 decided by 4 then take tat decided by 360
Hi,
You can walk 9.3 miles per hour.
<em>Hope this helps!</em>
Step-by-step explanation:
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The slope represents the how fast the bird is climbing and the Y intercept represents where the bird started to climb
