<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: Quadratic
Solution
X=0
X=- 1/3
B) 1/7 because no matter how many times you spin the odds are always 1 out of all 7 of the colors
You had 12 the next day and the day after that you had 18