simple function that simulates survey results based on sample size and probability

What is this:

This is a simple function, part of a basic Monte Carlo simulation. It takes sample size and probability as parameters. It returns the simulation result (positive answers) plus the input parameters in a tuple.

What I’m asking:

I’m trying to avoid using temporary variables, I have two questions.

1. Do I really save memory by avoiding storing interim results?
2. How could I improve readability without adding variables?

 def simulate_survey(sample_size, percent_subscribes):     return (         sample_size,         percent_subscribes,         round(             (                 sum([                     r.random() < percent_subscribes                      for _ in range(sample_size)                 ]) / sample_size             ),             2         )     )  

Thank you for your feedback.