why would the auther use this as a correlations to suppoet his cunculesn a negative correlation between time and the amount of arctic sea ice
The author may use the negative correlation between time and the amount of Arctic sea ice to support their conclusions for several reasons:
1. Credibility: If there is a significant negative correlation between time and the amount of Arctic sea ice, it adds credibility to the author's argument that there is a long-term decline in Arctic sea ice. This correlation suggests that as time progresses, the amount of sea ice is consistently decreasing, lending weight to the author's claims.
2. Trends and Patterns: By highlighting a negative correlation, the author can emphasize the existence of a consistent trend or pattern. This can reinforce their conclusion that there is a link between time and the decline in Arctic sea ice. It implies a cause-and-effect relationship: as time goes on, the amount of sea ice decreases.
3. Predictive Power: If the negative correlation can be established with a high degree of statistical significance, it may allow the author to make predictions about future trends in Arctic sea ice. This would further support their conclusions and arguments about the detrimental effects of climate change on the Arctic region.
4. Scientific Consensus: The negative correlation between time and Arctic sea ice aligns with the findings of numerous scientific studies and reports which highlight the ongoing decline in Arctic sea ice. By drawing upon this consensus, the author can strengthen the validity and acceptance of their conclusions.
Overall, the negative correlation between time and the amount of Arctic sea ice serves as empirical evidence that supports the author's conclusion about the decreasing levels of sea ice in the region and the role of climate change in this decline.