<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>
6--3=9
15-6=9,
so
24+9=33,
33+9=42,
42+9=51
33,42,51
Answer:
not really hehehehehe
Step-by-step explanation:
They are a method for showing the frequency of a data plot in a much more compact and numerical way.
1[2 3
2[1 7
3[3 4 5 7
4[ 0 0 1
Key 1[2= 12
meaning that 3[5 is 35 and 4[0 is 40 and so and so forth
Answer:
b
Step-by-step explanation:
