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.
You might be interested in
Answer:
Proportion states that the two fractions or ratios are equal.
Given the statement: A 36-foot-tall tree casts a 9-foot shadow.
To find the height of the nearby tree that cast a 14 foot shadow at the same time.
Let x be the height of the nearby tree.
By definition of proportion;
Substitute the given values we get;
Simplify:
Multiply both sides by 14 we get;
foot.
therefore, the height of the nearby tree is, 56 foot.