Find the residual values, and use the graphing calculator tool to make a residual plot
2 answers:
<u>Solution-</u>
We know that,
<em>Residual value = Given value - Predicted value</em>
The table for residual values is shown below,
Plotting a graph, by taking the residual values on ordinate and values of given x on abscissa, a random pattern is obtained where the points are evenly distributed about x-axis.
We know that,
<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>
As, in this case the points are distributed randomly around x-axis, so the residual plot show that the line of regression is best fit for the data set.
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Answer:
see the attachment
Step-by-step explanation:
It is convenient to graph this equation using the x- and y-intercepts.
The x-intercept is found where y=0, so ...
4x = 36
x = 9
The y-intercept is found where x=0, so ...
-6y = 36
y = -6
<em>Graph the two points (9, 0) and (0, -6) and draw a line through them</em>. The graph is shown below.
