From: Big data would not lie: prediction of the 2016 Taiwan election via online heterogeneous information
Estimate | Std. Error | t value | Pr(>|t|) | |
---|---|---|---|---|
c | −0.0009 | 0.0012 | −0.735 | 0.4651 |
\(p^{llchu}_{k-1}\) | 1.0172 | 0.0114 | 89.259 | <2e–16∗∗∗ |
\(\gamma _{16}\) | −0.0004 | 0.0008 | −0.488 | 0.6273 |
\(\gamma _{17}\) | −0.0006 | 0.0011 | −0.590 | 0.5572 |
\(\gamma _{18}\) | 0.0009 | 0.0007 | 1.241 | 0.2192 |
\(\gamma _{19}\) | −0.0006 | 0.0010 | −0.560 | 0.5774 |
\(\gamma _{20}\) | 0.0004 | 0.0007 | 0.550 | 0.5844 |
\(\gamma _{21}\) | −0.0055 | 0.0013 | −4.227 | 7.13e–05∗∗∗ |
Residual standard error | 0.0017 on 69 degrees of freedom | |||
Multiple R-squared | 0.9963 | |||
Adjusted R-squared | 0.9959 | |||
F-statistic | 2331 on 8 and 69 DF | p-value | <2.2e–16 |