Barely Significant

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highly significantqualifiedgold
On the basis of the calculation results of the OLS and SDM models, the following conclusions are drawn: From the overall perspective, the regression coefficient of HE is 1.048 when time effects or individual differences are not taken into account, which is highly significant at the 1% level, indicating that there are significant spatial correlations and spillover effects of the HQDE of YRB cities.
The regression results show that the change in the estimated coefficients of each explanatory variable is stable, and the significance level is improved after the core independent variables are introduced separately for estimation.The -2 Log-likelihood is often used as an index to compare the fit of different models, and the ‘-2 Log-likelihood’ of model 1, model 2, model 3 and model 4 changed from 392.815 to 322.300, showing a decreasing trend; Nagelkerke R2 is often used as a measure of the explanatory power of logistic regression models to the dependent variable.