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:
42.8°
Step-by-step explanation:
The sine rule states that for a triangle with lengths of a, b and c and the corresponding angles which are opposite the sides as A, B and C, then the following rule holds:
Given that points A, B and C forms a triangle with angle A = 65°, distance from A-to-C = 90 m and the distance from B to C = 120 m.
The distance from A to C is the side opposite to angle B. Hence let b = distance from A to C = 90 m.
The distance from B to C is the side opposite to angle A. Hence let a = distance from B to C = 120 m.
Therefore using sine rule: