The model represents an equation.
1 answer:
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Answer:
<em>Residual value of -0.8 means the actual point is 0.8 units below the best fit line.</em>
Step-by-step explanation:
The difference between the observed value of the dependent variable and the predicted value is called the residual.
Mathematically,
where,
e = residual,
y = observed value,
ŷ = predicted value.
When the residual is negative, the data point is below the graph or best fit line.
Residual value of -0.8 means the actual point is 0.8 units below the best fit line. It also means that the actual value is 0.8 lesser than the predicted value.
Step-by-step explanation:
Hey there!
Given;
Multiply 7*8 for finding value of "p".
Therefore the value of "p" is 56.
<em><u>Hope it helps</u></em><em><u>.</u></em><em><u>.</u></em><em><u>.</u></em>