============================================================================== +++++++++ Associated_Affect +++++++++ OLS Regression Results ============================================================================== Dep. Variable: Associated_Affect R-squared: 0.125 Model: OLS Adj. R-squared: 0.120 Method: Least Squares F-statistic: 23.56 No. Observations: 832 Prob (F-statistic): 3.47e-22 Df Residuals: 826 Log-Likelihood: -1520.4 Df Model: 5 AIC: 3053. Covariance Type: nonrobust BIC: 3081. ============================================================================================================== coef std err t P>|t| [0.025 0.975] -------------------------------------------------------------------------------------------------------------- Overall mean 4.9559 0.072 68.685 0.000 4.814 5.098 C(RobotName, Sum)[Go1] -0.5095 0.106 -4.828 0.000 -0.717 -0.302 C(RobotName, Sum)[Jackal] 0.2408 0.104 2.308 0.021 0.036 0.446 C(RobotName, Sum)[Pepper] 0.5240 0.105 5.000 0.000 0.318 0.730 C(RobotName, Sum)[Quadrotor] -0.7395 0.104 -7.088 0.000 -0.944 -0.535 C(ParticipantGroup)[T.CS] -0.4476 0.105 -4.269 0.000 -0.653 -0.242 ============================================================================== Omnibus: 26.365 Durbin-Watson: 1.433 Prob(Omnibus): 0.000 Jarque-Bera (JB): 14.889 Skew: -0.152 Prob(JB): 0.000585 Kurtosis: 2.420 Cond. No. 2.56 ============================================================================== ============================================================================== +++++++++ Distracted +++++++++ OLS Regression Results ============================================================================== Dep. Variable: Distracted R-squared: 0.145 Model: OLS Adj. R-squared: 0.140 Method: Least Squares F-statistic: 28.68 No. Observations: 854 Prob (F-statistic): 6.35e-27 Df Residuals: 848 Log-Likelihood: -1682.1 Df Model: 5 AIC: 3376. Covariance Type: nonrobust BIC: 3405. ============================================================================================================== coef std err t P>|t| [0.025 0.975] -------------------------------------------------------------------------------------------------------------- Overall mean 3.4803 0.082 42.320 0.000 3.319 3.642 C(RobotName, Sum)[Go1] -0.6508 0.120 -5.441 0.000 -0.886 -0.416 C(RobotName, Sum)[Jackal] 0.3078 0.119 2.591 0.010 0.075 0.541 C(RobotName, Sum)[Pepper] 1.0144 0.119 8.500 0.000 0.780 1.249 C(RobotName, Sum)[Quadrotor] -0.8481 0.119 -7.123 0.000 -1.082 -0.614 C(ParticipantGroup)[T.CS] -0.4581 0.119 -3.840 0.000 -0.692 -0.224 ============================================================================== Omnibus: 45.376 Durbin-Watson: 1.502 Prob(Omnibus): 0.000 Jarque-Bera (JB): 38.676 Skew: 0.447 Prob(JB): 4.00e-09 Kurtosis: 2.463 Cond. No. 2.57 ============================================================================== ============================================================================== +++++++++ Colocate +++++++++ OLS Regression Results ============================================================================== Dep. Variable: Colocate R-squared: 0.081 Model: OLS Adj. R-squared: 0.075 Method: Least Squares F-statistic: 14.52 No. Observations: 829 Prob (F-statistic): 1.19e-13 Df Residuals: 823 Log-Likelihood: -1692.6 Df Model: 5 AIC: 3397. Covariance Type: nonrobust BIC: 3425. ============================================================================================================== coef std err t P>|t| [0.025 0.975] -------------------------------------------------------------------------------------------------------------- Overall mean 4.3226 0.090 48.020 0.000 4.146 4.499 C(RobotName, Sum)[Go1] -0.1220 0.130 -0.940 0.348 -0.377 0.133 C(RobotName, Sum)[Jackal] 0.0369 0.130 0.284 0.776 -0.218 0.292 C(RobotName, Sum)[Pepper] 0.5889 0.130 4.513 0.000 0.333 0.845 C(RobotName, Sum)[Quadrotor] -0.8501 0.130 -6.530 0.000 -1.106 -0.595 C(ParticipantGroup)[T.CS] -0.5250 0.130 -4.036 0.000 -0.780 -0.270 ============================================================================== Omnibus: 146.989 Durbin-Watson: 1.329 Prob(Omnibus): 0.000 Jarque-Bera (JB): 34.722 Skew: -0.141 Prob(JB): 2.89e-08 Kurtosis: 2.038 Cond. No. 2.58 ============================================================================== ============================================================================== +++++++++ Like +++++++++ OLS Regression Results ============================================================================== Dep. Variable: Like R-squared: 0.042 Model: OLS Adj. R-squared: 0.037 Method: Least Squares F-statistic: 7.454 No. Observations: 847 Prob (F-statistic): 7.43e-07 Df Residuals: 841 Log-Likelihood: -1543.0 Df Model: 5 AIC: 3098. Covariance Type: nonrobust BIC: 3127. ============================================================================================================== coef std err t P>|t| [0.025 0.975] -------------------------------------------------------------------------------------------------------------- Overall mean 4.8265 0.071 67.890 0.000 4.687 4.966 C(RobotName, Sum)[Go1] -0.2675 0.103 -2.590 0.010 -0.470 -0.065 C(RobotName, Sum)[Jackal] 0.0511 0.103 0.495 0.621 -0.152 0.254 C(RobotName, Sum)[Pepper] 0.4283 0.103 4.156 0.000 0.226 0.631 C(RobotName, Sum)[Quadrotor] -0.4104 0.104 -3.957 0.000 -0.614 -0.207 C(ParticipantGroup)[T.CS] -0.1643 0.103 -1.590 0.112 -0.367 0.039 ============================================================================== Omnibus: 32.715 Durbin-Watson: 1.569 Prob(Omnibus): 0.000 Jarque-Bera (JB): 33.982 Skew: -0.465 Prob(JB): 4.18e-08 Kurtosis: 2.685 Cond. No. 2.56 ==============================================================================