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response vs explanatory variable pepe unchain Bnb Eth XRP crypto futures coinbase futures binance futures
In statistics, explanatory and response variables play a crucial role in analyzing data. The explanatory variable (also known as the independent variable) is the factor that is believed to impact the response variable (dependent variable). Correlation (2.1) refers to the strength and direction of the relationship between these two variables. Understanding the distinction between explanatory and response variables is essential for conducting meaningful statistical analyses and drawing accurate conclusions.

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Risk warning: Digital asset trading is an emerging industry with bright prospects, but it also comes with huge risks as it is a new market. The risk is especially high in leveraged trading since leverage magnifies profits and amplifies risks at the same time. Please make sure you have a thorough understanding of the industry, the leveraged trading models, and the rules of trading before opening a position. Additionally, we strongly recommend that you identify your risk tolerance and only accept the risks you are willing to take. All trading involves risks, so you must be cautious when entering the market.

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