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it leads to more accurate and predictions.

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If the strength of the two variables are strong, it also shows strong accuracy and precise prediction.

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By knowing how the relationship between true variables, we can predict a much more accurate data or information

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We may be able to analyze what should be done more accurately.

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The stronger the relationship between two variables, the more confident you can be in predictions based on that relationship.

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With the help of bivariate data analysis, we can improve our knowledge in analyzing and obtain less biased judgements.

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Bivariate data analysis helps us identitfy correlations between users inputs and response effectiveness.

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It contributes to your decision because it helps you identify the relationship between the two variable and its effect of a specific circumstances.

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Check the weather forecast, assess potential risks, have a backup plan, and decide based on how flexible your group is and how prepared you are for possible discomfort.

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Bivariate analysis helps a much more accurate decision making by identifying relationship, predicting trends, and comparing categories and assessing risk, and optimizing performance.

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By the help of the given bivariate data, I would use this as if I will proceed in planning a picnic. For instance I don't want to be at a picnic when the temperature's high.

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Through this data, we can obtain information that can help us conclude or decide whether to proceed with the picnic or not. With this we can avoid uncertainty.

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We could use the bivariate data in decision making whether we are going to attend in an outdoor events and etc.