How should I present linear regression output in a table format? Is there any convention regarding the minimum information that should be included in a table showing a linear regression output? 
The reason for this question is that I want to make the output as easy to understand as possible. I have graphed the main findings but I want to include the other outputs in a detailed table.
This is in a general social science context (i.e. a presentation; not journal publication) and my audience is not trained in statistics, so I want to keep everything as simple as possible (while still retaining the critical information).
 A: If a table is really called for, these information should be included:


*

*Regression coefficients

*An asterisk system or bold font to indicate statistically significant coefficients

*If space allows, add a column to show confidence interval.


Another useful technique to build in some animated boxes or arrows to direct their attention to the key information. That way you won't lose them.
But the important question is, if they are not trained in statistics at all, why show them a table? How would knowing the other coefficient help them? Instead, I'd suggest you to finely craft the interpretation of the results and then put it onto the slide. Just state the regression coefficient of the main predictor and whether it's significant. And then as a foot note on the slide, indicate what variables were controlled for. Remember to avoid causal inference.
Before the presentation, prepare a copy of the actual print out. If there is anyone asking in-depth questions, ask the person to talk to you after the event for more details.
