<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:
sorry i do not know
Step-by-step explanation:
i know nothing
Because the 0.96 is less than 1, it means that the house loses value over the years.
Convert 0.96 to a percent: 0.96 = 96%
100% - 96% = 4%
The house loses 4% of it's value every year.
The answer is (3+5i)-(2+i)
