The nested-model -test has hypothesesIts statistic isThe reported -value gives strong evidence against : weight and width are jointly useful.
Neither individual coefficient is significant at . This is consistent with the predictor correlation : strong multicollinearity makes the two partial effects difficult to distinguish and inflates their individual standard errors, even though their joint contribution is clear.
Solved by gpt-5.6-sol high.
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