Dep. Variable: | damage | No. Observations: | 10002 |
Model: | GLM | Df Residuals: | 9992 |
Model Family: | Binomial | Df Model: | 9 |
Link Function: | Logit | Scale: | 1.0000 |
Method: | IRLS | Log-Likelihood: | -6908.1 |
Date: | Fri, 13 Jun 2025 | Deviance: | 13816. |
Time: | 11:25:47 | Pearson chi2: | 1.00e+04 |
No. Iterations: | 4 | Pseudo R-squ. (CS): | 0.002913 |
Covariance Type: | nonrobust |
coef | std err | z | P>|z| | [0.025 | 0.975] | |
Intercept | 0.1157 | 0.063 | 1.845 | 0.065 | -0.007 | 0.239 |
speed_quantile[T.Q2] | -0.0051 | 0.087 | -0.059 | 0.953 | -0.175 | 0.165 |
speed_quantile[T.Q3] | -0.0288 | 0.080 | -0.361 | 0.718 | -0.185 | 0.127 |
speed_quantile[T.Q4] | -0.2467 | 0.128 | -1.924 | 0.054 | -0.498 | 0.005 |
speed_quantile[T.Q5] | -0.1935 | 0.090 | -2.159 | 0.031 | -0.369 | -0.018 |
speed_quantile[T.Q6] | -0.0954 | 0.080 | -1.199 | 0.231 | -0.251 | 0.061 |
speed_quantile[T.Q7] | 0.0874 | 0.142 | 0.614 | 0.539 | -0.192 | 0.367 |
speed_quantile[T.Q8] | -0.0672 | 0.087 | -0.774 | 0.439 | -0.237 | 0.103 |
speed_quantile[T.Q9] | 0.1336 | 0.089 | 1.507 | 0.132 | -0.040 | 0.307 |
speed_quantile[T.Q10] | 0.1748 | 0.094 | 1.863 | 0.062 | -0.009 | 0.359 |
Dep. Variable: | damage | No. Observations: | 10002 |
Model: | GLM | Df Residuals: | 10000 |
Model Family: | Binomial | Df Model: | 1 |
Link Function: | Logit | Scale: | 1.0000 |
Method: | IRLS | Log-Likelihood: | -6905.5 |
Date: | Fri, 13 Jun 2025 | Deviance: | 13811. |
Time: | 11:25:48 | Pearson chi2: | 1.00e+04 |
No. Iterations: | 4 | Pseudo R-squ. (CS): | 0.003424 |
Covariance Type: | nonrobust |
coef | std err | z | P>|z| | [0.025 | 0.975] | |
Intercept | 0.0338 | 0.022 | 1.520 | 0.129 | -0.010 | 0.077 |
height | 6.388e-05 | 1.11e-05 | 5.733 | 0.000 | 4.2e-05 | 8.57e-05 |
State Reports Highest incidence of Birds Strikes
CA
Which phase of flight sees highest likelihood of birds strike?
Approach : 4142