= Solution
At a conventional 5% <significance level>, \b[there is evidence for an association with sex after adjusting for weight], because its two-sided <p-value> is $0.00131<0.05$. There is \b[insufficient evidence for a weight association after adjusting for sex], because its <p-value> is $0.62392>0.05$.
These <Student t-tests> test whether the corresponding <regression coefficients> are zero within the additive <multiple linear regression>. Failure to reject the weight hypothesis does not establish an exactly zero effect; these associations alone also do not justify a <causal inference>. The later model with a <statistical interaction> asks a different question, allowing the weight association to differ by sex.
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