<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:
9
Step-by-step explanation:
5(n-2)=35
5n-10=35
5n=35+10
5n=45
n=45/5
n=9
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Answer:
B, 110
Step-by-step explanation:
Work Backwards!
1.- 260 - 110 = 150 children
2.- 150 X $2.50 (rate of children) = $375
3.- $815 - $375 = $440
4.- $440/$4 (rate of adults) = 110 Adults
<span><span> x = 0</span>
<span> y = -x/2+2</span>
<span> z = -x-y+1
hope this helps fam :)</span></span>