Paper Title: Linear approximation Computational Complexity with Multivariate Correlation

Author's name: Manjula R , Logesh T

In recent years, the term "carbon footprint" has become common among meteorologists due to the pressing issue of climate change being a top priority for both corporations and politics. As a result, there is a high demand for calculating carbon footprints, with scholars proposing various approaches ranging from simple online calculations to more complex techniques such as input-output-based analysis. However, despite the widespread use of the term, there is no universally accepted academic definition of "carbon footprint." This lack of clarity is evident in the scientific literature, despite numerous studies on energy and ecological economics that should have defined the term precisely. Typically, carbon footprints are calculated by averaging the number of people living in a specific region with the total number of people in that region. However, we propose a system that will calculate the emissions from homes and industries separately, addressing the current system's drawbacks, which average out the footprints in a given region. Our system will use calculations that predict accurate results for each individual.

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