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If we determine that r is strong r 2 is high and sis small we...

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If we determine that r is strong r 2 is high and sis small we can conclude that x causes y the data may be linearly associated a linear model is better than a non linear model

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The correct conclusion is The data may be linearly associated Explanation r is strong This indicates a strong correlation between the variables suggesting a linear    See Answer
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If we determine that r is strong r 2 is high and sis small we can conclude that x causes y the data may be linearly associated a linear model is better than a non linear model

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