YOU NEED SOME SORT OF preliminary explanation of what you are doing here before showering us with specific examples. For example, why data at \(10 \textrm{ k}\Omega\), \(1 \textrm{ k}\Omega\) and \(1 \Omega\)? The reader needs to know this before you start giving her the results for each of these cases.
This should be a reasonably straightforward explanation to provide if you refer to what you expect from the Johnson noise equation and an additional equation explaining how what you measure is a combination of Johnson noise and other sources. That explanation should include an explanation of why the formula involves \(<V_J^2>\) and \(<V_{\textrm{other noise}}^2>\) as opposed to \(<V_J>\) and \(<V_{\textrm{other noise}}>\) or \(<(V_J + V_{\textrm{other noise}})^2>\), for example.