<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:
6,820 dollars
Step-by-step explanation:
multiple 0.62 times 11,000
Answer:
you would save .66 per pack so .66×3=1.98
Step-by-step explanation:
9.99÷3=3.33, 3.99-3.33=.66
Area of circle=Πrsquare
A=Πx5x5
A=78.5
Area of rect 10x9=90
Tsurface =168.5
Answer:
DC = 2
Step-by-step explanation:
The wrong equation was used.
The right equation to use based on the midsegment theorem of a trapezoid is:
MN = ½(AB + DC)
MN = 8
AB = 14
Substitute
8 = ½(14 + DC)
Multiply both sides by 2
8*2 = ½(14 + DC)*2
2*8 = 14 + DC
16 = 14 + DC
16 - 14 = 14 + DC - 14
2 = DC
DC = 2
