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It does show you a postivepositive correlation, since \hat{\beta} = cov(y,x) / var(x) $\hat{\beta} = cov(y,x) / var(x)$ and var(x) can neven benever be negative. (Replace x with a partialled out x in case you have a multivariate linear regression.)

I heavily advise to recapreview the basics of linear regression.

It does show you a postive correlation, since \hat{\beta} = cov(y,x) / var(x) and var(x) can neven be negative. (Replace x with a partialled out x in case you have a multivariate linear regression.)

I heavily advise to recap the basics of linear regression.

It does show you a positive correlation, since $\hat{\beta} = cov(y,x) / var(x)$ and var(x) can never be negative. (Replace x with a partialled out x in case you have a multivariate linear regression.)

I heavily advise to review the basics of linear regression.

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It does show you a postive correlation, since \hat{\beta} = cov(y,x) / var(x) and var(x) can neven be negative. (Replace x with a partialled out x in case you have a multivariate linear regression.)

I heavily advise to recap the basics of linear regression.