1.
Exploratory Data Analysis
1.3. EDA Techniques 1.3.3. Graphical Techniques: Alphabetic 1.3.3.21. Normal Probability Plot


Normal Probability Plot 
The following normal probability plot is from the
heat flow meter data.


Conclusions 
We can make the following conclusions from the above plot.


Discussion 
Visually, the probability plot shows a strongly linear pattern.
This is verified by the correlation coefficient of 0.9989 of the
line fit to the probability plot. The fact that the points in the
lower and upper extremes of the plot do not deviate significantly
from the straightline pattern indicates that there are not any
significant outliers (relative to a normal distribution).
In this case, we can quite reasonably conclude that the normal distribution provides an excellent model for the data. The intercept and slope of the fitted line give estimates of 9.26 and 0.023 for the location and scale parameters of the fitted normal distribution. 