What does a residual value of –0.8 mean in reference to the line of best fit?
2 answers:
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.
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Answer:
Step-by-step explanation:
To factor the equation, break it into two binomials which multiply to make the equation. To write these binomials (x+a)(x+b), find factors which multiply to -20 and add to -1 for a and b.
20: 1, 2, 4, 5, 10, 20
-5+4 = -1