weighted$\_$profit$\_$margin $=$ np$.$average$($profit$\_$margins, weights$=$ai$\_$adoption$\_$rates $/100)$

In the code provided, np$.$average calculates the weighted average profit margin. What does the weights parameter signify, and how does it influence the weighted$\_$profit$\_$margin?

The weights parameter uses the Al adoption rates to give more weight to companies with higher adoption in the profit margin average, showing a preference for Al$-$heavy companies.

The weights parameter applies an inverse weighting of profit margins by $Al$ adoption rates, decreasing the weight of companies with higher adoption rates in the average calculation.

The weights parameter assigns a measure of significance to each profit margin based on its occurrence, inversely related to the $Al$ adoption rates.

$$ weights gives equal importance to all profit margins, resulting in a simple arithmetic average, no different than if np$.$mean were used.