The residual value will be equal to -1.
<h3>What is residual value?</h3>
A residual is a difference between the observed y-value of a data point and the predicted y-value on a regression line for the x-coordinate of the data point. A residual is positive when the point is above the line, negative when it is below the line, and zero when the observed y-value equals the predicted y-value.
Take, for instance, we have the following data entry:
Observed value = 69.4
Predicted value = 70.4
The residual (r) would be:
Residual value = 69.4 - 70.4 = -1
Therefore the residual value will be -1
Read more about residuals at:
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~2.09. The formula is (pi)r^2(h)/3 so 3.14286 • 1^2 • 2 is ~6.2857. Divers that by two and get 2.09
Answer:
by adding profit as your wish or loss
Round 3.49 to 3.50
multiply by 2: 7 dollars
round 5.98 to 6.00
multiply by 1/2: 3 dollars
7 dollars +3 dollars= 10 dollars
She will have enough money
Answer:
6.1
Step-by-step explanation:
hope it helps<3
