You are working with data from several companies to analyze their AI adoption rates and financial performance using Python and NumPy. Here is the code that processes the data:

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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?

Group of answer choices

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

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

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

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