Welcome, guest! Login / Register - Why register?
Psst.. new poll here.
Psst.. new forums here.
Microsoft is blocking us again (TY IP Reputation!) so just use oauth login instead. :)

Paste

Pasted as Python by bearto ( 6 years ago )
> attempt2 <- lm (AllDblCrisis$likes~AllDblCrisis$attack_the_accuser+AllDblCrisis$denial+AllDblCrisis$scapegoat+AllDblCrisis$justification+AllDblCrisis$compensation)
> summary(attempt2)

Call:
lm(formula = AllDblCrisis$likes ~ AllDblCrisis$attack_the_accuser + 
    AllDblCrisis$denial + AllDblCrisis$scapegoat + AllDblCrisis$justification + 
    AllDblCrisis$compensation)

Residuals:
    Min      1Q  Median      3Q     Max 
-3.0000 -0.8461  0.1538  0.6250  3.1538 

Coefficients:
                                Estimate Std. Error
(Intercept)                       3.8333     0.4435
AllDblCrisis$attack_the_accuser   0.4220     0.4710
AllDblCrisis$denial              -0.4583     0.4833
AllDblCrisis$scapegoat            0.1667     0.5057
AllDblCrisis$justification       -0.4048     0.5301
AllDblCrisis$compensation        -0.9872     0.4489
                                t value
(Intercept)                       8.643
AllDblCrisis$attack_the_accuser   0.896
AllDblCrisis$denial              -0.948
AllDblCrisis$scapegoat            0.330
AllDblCrisis$justification       -0.764
AllDblCrisis$compensation        -2.199
                                           Pr(>|t|)    
(Intercept)                     <0.0000000000000002 ***
AllDblCrisis$attack_the_accuser              0.3708    
AllDblCrisis$denial                          0.3436    
AllDblCrisis$scapegoat                       0.7419    
AllDblCrisis$justification                   0.4456    
AllDblCrisis$compensation                    0.0285 *  
---
Signif. codes:  
0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 1.086 on 360 degrees of freedom
Multiple R-squared:  0.1905,	Adjusted R-squared:  0.1792 
F-statistic: 16.94 on 5 and 360 DF,  p-value: 0.0000000000000048

> attempt3 <- lm (AllDblCrisis$retweets~AllDblCrisis$attack_the_accuser+AllDblCrisis$denial+AllDblCrisis$scapegoat+AllDblCrisis$justification+AllDblCrisis$compensation)
> summary(attempt3)

Call:
lm(formula = AllDblCrisis$retweets ~ AllDblCrisis$attack_the_accuser + 
    AllDblCrisis$denial + AllDblCrisis$scapegoat + AllDblCrisis$justification + 
    AllDblCrisis$compensation)

Residuals:
   Min     1Q Median     3Q    Max 
-2.583 -0.583  0.000  0.417  2.417 

Coefficients:
                                Estimate Std. Error
(Intercept)                       3.8333     0.3997
AllDblCrisis$attack_the_accuser  -0.1738     0.4245
AllDblCrisis$denial              -0.9271     0.4356
AllDblCrisis$scapegoat           -0.3333     0.4558
AllDblCrisis$justification       -0.8333     0.4778
AllDblCrisis$compensation        -1.2503     0.4046
                                t value
(Intercept)                       9.590
AllDblCrisis$attack_the_accuser  -0.409
AllDblCrisis$denial              -2.128
AllDblCrisis$scapegoat           -0.731
AllDblCrisis$justification       -1.744
AllDblCrisis$compensation        -3.091
                                            Pr(>|t|)    
(Intercept)                     < 0.0000000000000002 ***
AllDblCrisis$attack_the_accuser              0.68254    
AllDblCrisis$denial                          0.03400 *  
AllDblCrisis$scapegoat                       0.46504    
AllDblCrisis$justification                   0.08198 .  
AllDblCrisis$compensation                    0.00215 ** 
---
Signif. codes:  
0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 0.9792 on 360 degrees of freedom
Multiple R-squared:  0.1544,	Adjusted R-squared:  0.1426 
F-statistic: 13.14 on 5 and 360 DF,  p-value: 0.000000000009084

 

Revise this Paste

Your Name: Code Language: