Linear model is a kind of statistical model and have a long history and wide applications. The inference results interpretation is an important aspect in model statistical inference.

线性模型是一类研究历史悠久，应用范围广泛的统计模型，在模型的统计分析中，结果解释是重要的组成部分。

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For generalized linear and nonlinear models, it is still a conventional hypothesis that observed data should have nominal dispersion, otherwise statistical inference would be more difficult.

对于广义回归模型，人们也总是假设数据具有名义离差，否则，统计推断更加困难。

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For generalized linear and nonlinear models, it is still a conventional hypothesis that observed data should have nominal dispersion, otherwise statistical inference would be more difficult.

对于广义回归模型，人们也总是假设数据具有名义离差，否则，统计推断更加困难。

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