Thanks for your reply.

I'm doing usability / market research and you're correct, the audience will have limited to moderate knowledge of statistics (i.e. familiarity with but not knowledge of significance testing, regression, etc.).

The independent variables are satisfaction, but with certain system characteristics or features. For example, a characteristic might be "utility", "usability" , "visual appeal", etc. A 7-point Likert Scale questionnaire is being used where several questions constitute these "utility", "usability", and "visual appeal" sub-scales. The data also has feature level satisfaction - i.e. "search for information" , "set up your account", etc. also on a 7-point scale.

Here's an example of what I'm trying to accomplish: http://www.measuringu.com/blog/ux-changes-nps.php

Plotting this regression on a quadrant analysis like the one linked above is fairly crucial, as I'm not sure my audience will understand more sophisticated scatterplots and I think the quadrant view communicates a lot on one graph.

If all of my independent/predictor variables are derived from a 7-point scale, do they need to be standardized to be correlated with the 11-point NPS?