Results

Linear Regression

The output below shows that the likeableness of the perpetrator significantly predicts ratings of dishonest acts, t(98) = 14.802, p < 0.001. The positive standardized beta value (0.831) indicates a positive relationship between likeableness of the perpetrator and ratings of dishonesty, in that, the more likeable the perpetrator, the more positively their dishonest acts were viewed (remember that dishonest acts were measured on a scale from 0 = appalling behaviour to 10 = it’s OK really). The value of 𝑅2 tells us that likeableness of the perpetrator accounts for 69.1% of the variance in the rating of dishonesty, which is over half.

Model Summary - likeableness
Model R R² Adjusted R² RMSE
M₀ 0.000 0.000 0.000 1.906
M₁ 0.831 0.691 0.688 1.065
Note.  M₁ includes deed
ANOVA
Model   Sum of Squares df Mean Square F p
M₁ Regression 248.569 1 248.569 219.097 < .001
  Residual 111.183 98 1.135  
  Total 359.752 99  
Note.  M₁ includes deed
Note.  The intercept model is omitted, as no meaningful information can be shown.
Coefficients
95% CI
Model   Unstandardized Standard Error Standardized t p Lower Upper
M₀ (Intercept) 4.808 0.191 25.223 < .001 4.430 5.186
M₁ (Intercept) 2.855 0.170 16.833 < .001 2.518 3.191
  deed 0.736 0.050 0.831 14.802 < .001 0.637 0.834
Bootstrap Coefficients
95% CI*
Model   Unstandardized Bias Standard Error p* Lower Upper
M₀ (Intercept) 4.797 -0.001 0.193 < .001 4.465 5.228
M₁ (Intercept) 2.844 -0.010 0.201 < .001 2.460 3.274
  deed 0.736 0.003 0.057 < .001 0.630 0.850
Note.  Bootstrapping based on 1000 replicates.
Note.  Coefficient estimate is based on the median of the bootstrap distribution.
* Bias corrected accelerated.

Bootstrap Coefficients output shows that the bootstrapped confidence intervals do not cross zero (0.630, 0.850). Assuming sample is one of the 95% that produces an interval containing the population value it appears that there is a non-zero relationship between the likeableness of the perpetrator and ratings of dishonest acts.