Is there any difference between pearson and spearman tests when I try to create correlation scatterplot in stata or do I have to just create the scatterplot and interpret it as a lineer or monotonically?
The Spearman and Pearson correlations are not tests, but statistics. And they are different indeed. The Spearman is essentially a correlation on ranked data. It does not perform as well as Kendall's tau-b, which is preferable for a number of reasons (for example, it has an actual interpretation while Spearman's does not).
Thanks for your response. I agree with your statement. Actually, I`m wondering about the scatterplot creating for Spearman correlation in Stata. Would be glad to your further help,
I am not sure what you mean by scatterplot creating in this context. A scatterplot is a scatterplot, and shows the data, not the correlation. Can you show me an example of what you want to do?