Hi all,

I just want to understand how R computes p-value in a simple linear
regression model? The reason is that in Matlab in the

function which "evaluate standard errors for multivariate normal
regression", it just provide estimates and standard errors, without giving
out p-value,

It computes t-statistics as follows:

abs(beta_hat/std_beta_hat)

how to go further to get p-value?

Thanks

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