<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:
A. Scientific Notation
Step-by-step explanation:
Brainliest is appreciated, im one away :)
400 lbs = 0.2 tons
38,600 mg = 3.86 dekagrams
Hope it helps!
Answer:
61
Step-by-step explanation:
Please give me brainliest :)
Answer:
when h(x) = 0, x = 7/3
Step-by-step explanation:
0 = 3x - 7
7 = 3x
7/3 = x