Comparing two datasets for consistent difference?
I have to compare the difference between two datasets made by subtracting four lists w,x,y, and z : w-x and y-z. I have to show that the difference between w and x is in the same range as the difference between y and z. The w-x dataset is 12 data points with an average of 24, and y-z dataset is 365 data points with an average of 27.
How can I statistically compare the two datasets and show that the difference is in the same range?
w and x are lists of monthly electricity demand values and y and z are lists of daily demand. I have to show that the difference between y and z follows a similar trend as the difference between w and x.
@rm2222 since this question is more about output analysis than energy modeling tools creating the outputs, this question might be a better fit in a user forum for Python or programming/scripting in general, such as Stack Overflow.