Yes, the residual plot shows that the line of best fit is appropriate for the data. The points are evenly distributed around the x-axis, indicating that the model is not overfitting or underfitting the data.
Residual values
X Given Predicted Residual
3.5 4.06 -0.56
2.3 2.09 0.21
1.1 0.12 0.98
-2.2 -1.85 -0.35
-4.1 -3.82 -0.28
A residual plot is a graph of the residuals on the vertical axis and the independent variable on the horizontal axis.
Residuals are the difference between the actual values of the dependent variable and the predicted values of the dependent variable based on the line of best fit.
A good residual plot will show the points evenly distributed around the x-axis.
If the points are clustered above or below the x-axis, it indicates that the model is not fitting the data well.
If the points have a pattern, it indicates that there is some other relationship between the independent variable and the dependent variable that is not being captured by the model.
In the residual plot sent, the points are evenly distributed around the x-axis.
This indicates that the line of best fit is appropriate for the data.
The residual plot shows that the line of best fit is appropriate for the data.
The points are evenly distributed around the x-axis, indicating that the model is not overfitting or underfitting the data.