Table 2. Regression results for neuron excitement.
Dep. Variable: | y | R-squared: | 0.004 | |||
Model: | OLS | Adj. R-squared: | 0.004 | |||
Method: | Least Squares | F-statistic: | 15.75 | |||
No. Observations: | 70680 | Prob (F-statistic): | 1.56E-49 | |||
Df Residuals: | 70661 | Log-Likelihood: | 1.11E+05 | |||
Df Model: | 18 | AIC: | -2.22E+05 | |||
Covariance Type: | nonrobust | BIC: | -2.22E+05 | |||
coef | std err. | t | P>|t| | [0.025 | 0.975] | |
x1 | 0.044 | 0.001 | 53.288 | 0 | 0.042 | 0.046 |
x2 | 0.0465 | 0.001 | 56.223 | 0 | 0.045 | 0.048 |
x3 | 0.0479 | 0.001 | 57.962 | 0 | 0.046 | 0.05 |
x4 | 0.0465 | 0.001 | 56.305 | 0 | 0.045 | 0.048 |
x5 | 0.0472 | 0.001 | 57.048 | 0 | 0.046 | 0.049 |
x6 | 0.0479 | 0.001 | 57.977 | 0 | 0.046 | 0.05 |
x7 | 0.0479 | 0.001 | 57.919 | 0 | 0.046 | 0.049 |
x8 | 0.0491 | 0.001 | 59.375 | 0 | 0.047 | 0.051 |
x9 | 0.0495 | 0.001 | 59.882 | 0 | 0.048 | 0.051 |
x10 | 0.049 | 0.001 | 59.286 | 0 | 0.047 | 0.051 |
x11 | 0.0527 | 0.001 | 63.763 | 0 | 0.051 | 0.054 |
x12 | 0.0532 | 0.001 | 64.408 | 0 | 0.052 | 0.055 |
x13 | 0.0523 | 0.001 | 63.326 | 0 | 0.051 | 0.054 |
x14 | 0.0532 | 0.001 | 64.412 | 0 | 0.052 | 0.055 |
x15 | 0.0541 | 0.001 | 65.486 | 0 | 0.053 | 0.056 |
x16 | 0.0533 | 0.001 | 64.466 | 0 | 0.052 | 0.055 |
x17 | 0.0547 | 0.001 | 66.155 | 0 | 0.053 | 0.056 |
x18 | 0.055 | 0.001 | 66.592 | 0 | 0.053 | 0.057 |
x19 | 0.0518 | 0.001 | 62.682 | 0 | 0.05 | 0.053 |