Consider the graph of the line of best fit, y = 0.5x + 1, and the given data points.
2 answers:
Answer:
<em>The residual value when x=2 is </em><em>-1</em>
Step-by-step explanation:
The difference between the observed value of the dependent variable and the predicted value is called the residual (e). Every data point has one residual. Lesser the residual value, better the best fit line is.
Mathematically,
Here from the graph,
the observed value is 2, so y=1
the predicted value is 0.5(2)+1 = 1+1 = 2, so
Putting the values,
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Answer:
←
in standard form
Step-by-step explanation:
The equation of a line in standard form is.
were
- A is a positive integer and
- B, C are integers
As the equation in point-slope form
where m is the slope and is a point on the line.
as
using and
then
←
in standard form