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.
Answer:
idek
Step-by-step explanation:
Answer:
Terms of the sequence: -1, 6, -22, 90
Step-by-step explanation:
Plug these into the formula, starting with n=2 and a1 = -1.
a2 = -4a1 + 2
= -4(-1) + 2 = 4 + 2 = 6
a3 = -4a2 + 2
= -4(6) + 2 = -24 + 2 = -22
a4 = -4a3 + 2
= -4(-22) + 2 = 88 + 2 = 90
Answer:
If you are looking for the least and the most, the answer for the least would be 3:4 and for the most 11:12
Step-by-step explanation:
