Step-by-step explanation:
We need to understand what residual plot is?
A residual plot is a graph that shows the residuals on the vertical axis and the independent variable on the horizontal axis.
Hence, there are 2 cases related to the relation between residual plot and a linear model:
1. If the points in a residual plot are randomly dispersed around the horizontal axis => the linear model is an appropriate fit for the data
2. If the points in a residual plot has a pattern => nonlinear model is more appropriate or the line have a bad fit with the set of the data.
Hope it will find you well.
This expression can be written as 4(x+3) because you have to multiply the sum of x and 3 by 4.
Hope this helps
Aaron needs 10 more dollars, because $10+$20=$30 and $30÷3 CD's = $10 the original price of one CD.
