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

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

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

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