Find the residual values, and use the graphing calculator tool to make a residual plot.
2 answers:
<u>Answer-</u>
D. No, the points are in a curved pattern.
<u>Solution-</u>
The difference between the observed or given value of the dependent variable and the predicted value is called the residual. Each data point has one residual.
<em>If the points in a residual plot are randomly dispersed around the horizontal or x-axis, a linear regression model is appropriate for the data. Otherwise, a non-linear model is more appropriate.</em>
Plotting a graph, by taking the residual values on ordinate and values of given x on abscissa, a non-random U pattern is obtained.
So a non-linear model will be a better fit for this data set.
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Answer:
When we have something like:
It is called the n-th root of x.
Where x is called the radicand, and n is called the index.
Then the term:
is called the fourth root of 16.
And in this case, we can see that the index is 4, and the radicand is 16.
At the end, we have the question: what is the 4th root of 16?
this is:
The 4th root of 16 is equal to 2.