<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>
Answer:
I don't see your options. Here are 5 I came up with.
4/10, 6/15, 8/20, 10/25, 12/30 etc.
Hope this helps.
Because he added them up , instead of trying to find the mean ( average ) of his city's high temperatures.
40%*2=80 I hope I helped!
