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1. Thelag coefficient of the model is0.25, indicating that therelationship between the two variables is weak.
模型的滞后系数为0.25，表示两个变量之间的关系较弱。
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2. The lag coefficient of the regression equation is -0.3, suggesting that the independentvariable has a negative impact on the dependentvariable.
回归方程的滞后系数为-0.3，表明自变量对因变量有负面影响。
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3. The lag coefficientof the autocorrelation function is0.8, indicating that thepast values of the dependent variable are highlycorrelated with the current value.
自相关函数的滞后系数为0.8，表明依赖变量的过去值与当前值高度相关。