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Environmental Sciences Europe

Table 4 OLS regression diagnostics

From: Identification of potential dam sites using OLS regression and fuzzy logic approach

Number of observations

1463

Akaike’s information criterion (AICc)1

4630.433

Multiple R- squared1

0.835894

Adjusted R-squared

0.872153

Joint F statistic2

743.1133

Prob(> F), (6,1456) degrees of freedom:

0

Joint Wald statistic3

2300.732

Prob(> Chi-squared), (6) degrees of freedom:

0

Koenker (BP) statistic4

17.31002

Prob(> Chi-squared), (6) degrees of freedom:

0.003172*

Jarque–Bera statistic5

0.312731

Prob(> Chi-squared), (2) degrees of freedom:

0.813711

  1. 1Measures model performance/fit
  2. 2Significant p-value indicates model significance
  3. 3Significant p-value indicates robust significance
  4. 4When this test is statistically significant (p < 0.01), the relationships modeled are inconsistent
  5. 5Significant p-value (p < 0.01) indicates residuals deviate from a Gaussian distribution
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