PLEASE HELP! By visual inspection, determine the best-fitting regression model for the data plot below.
2 answers:
The first thing you should do is observe the behavior of the graph.
It is not linear because the rate of change is not constant.
It is not exponential because the rate of change does not grow or decrease rapidly.
For this case the best regression model is a model of the form:
Where,
a <0: This is because we have a parabola that opens downwards.
Therefore, the best regression model is quadratic.
Answer:
By visual inspection, the best-fitting regression model for the data plot is:
A. Quadratic
It is not linear because the rate of change is not constant.
It is not exponential because the rate of change does not grow or decrease rapidly.
For this case the best regression model is a model of the form:
Where,
a <0: This is because we have a parabola that opens downwards.
Therefore, the best regression model is quadratic.
Answer:
By visual inspection, the best-fitting regression model for the data plot is:
A. Quadratic
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Answer:
Step-by-step explanation:
Residual value the difference between the observed value of the dependent variable and the predicted value is called the residual.
Residual , , where R is the residual value, O, is the observed value, and P is the predicted value. The sum and the mean of the residuals are equal to zero.
Now, we can see that the biggest <em>magnitude </em>of the difference is of and
is at the point
. (
)
Therefore, the point farthest from the line of best fit is the one whose magnitude of residual value is the most and in this case that point is .