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Given \( \sum_{\mathrm{i}=1}^{20} \mathrm{a}_{\mathrm{i}}=100, \quad \sum_{\mathrm{i}=1}^{20} \mathrm{a}_{\mathrm{i}}^{2}=600, \quad \sum_{\mathrm{i}=1}^{20} \mathrm{~b}_{\mathrm{i}}=140 \),
\( \mathrm{P} \)
\( \sum_{i=1}^{20} b_{i}^{2}=1000 \), where \( a_{i}, b_{i} \) denotes length and weight
of an observation. Then which is more varying?
(1) Length
(2) Weight
(3) Equal C.V.
(4) None of these
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