Multiple linear regression results for conversation (H2b)
| Independent variables | Dependent variable: number of comments | |||
|---|---|---|---|---|
| Coefficient | SE | t | p | |
| a) H2b for Trump’s page | ||||
| Valence | −0.007475 | 0.095520 | −0.792 | 0.428814 |
| Arousal | −0.066967 | 0.018131 | −3.693 | 0.000234*** |
| Dominance | 0.033727 | 0.023577 | 1.430 | 0.152919 |
| b) H2b for Clinton’s page | ||||
| Valence | −0.017541 | 0.005419 | −3.237 | 0.00125** |
| Arousal | 0.010741 | 0.011932 | 0.900 | 0.36822 |
| Dominance | 0.008412 | 0.013528 | 0.622 | 0.53418 |
| Independent variables | Dependent variable: number of comments | |||
|---|---|---|---|---|
| Coefficient | SE | |||
| a) | ||||
| −0.007475 | 0.095520 | −0.792 | 0.428814 | |
| −0.066967 | 0.018131 | −3.693 | 0.000234 | |
| 0.033727 | 0.023577 | 1.430 | 0.152919 | |
| b) | ||||
| −0.017541 | 0.005419 | −3.237 | 0.00125 | |
| 0.010741 | 0.011932 | 0.900 | 0.36822 | |
| 0.008412 | 0.013528 | 0.622 | 0.53418 | |
R2 = 0.0207; adjusted R2 = 0.01751; R2 = 0.1432; adjusted R2 = 0.1353; significance codes: 0 *** 0.001 ** 0.01 * 0.05°
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