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When Testing to Determine If Correlation Is Significant, We Use H0:ϱ=0\mathrm { H } _ { 0 } : \varrho = 0

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When testing to determine if correlation is significant, we use the hypotheses H0:ϱ=0\mathrm { H } _ { 0 } : \varrho = 0 . Ha:ϱ0\mathrm { H } _ { \mathrm { a } } : \varrho \neq 0 . Suppose the conclusion is to reject the null hypothesis. What does that tell us about the linear regression equation?


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