For your analysis, conduct bivariate correlational analyses (just like last week

Question

For your analysis, conduct bivariate correlational analyses (just like last week) and test the simple correlations between “Trustworthy”, “Gender”, “Attractive”, “Disgust”, and “Dominance”.

Next, conduct a multiple regression regressing Trustworthy on gender, attractive, disgust, and dominance. I have attachded screenshots of the tests. Can someone please interpret the results?

Each needs to be interpreted like this:

Model Summa Adjusted R Square Std. Error of the Estimate Model R Square 471 214 60804 a. Predictors: (Constant), trustworthy ANOVA Sum of Squares Model df Mean Square Sig 11.158 30.179 11.158 39.190 50.348 a. Dependent Variable: dominance Regression Residual Total 106 370 107 b. Predictors: (Constant), trustworthy

Explanation / Answer

Please see below the answers and the interpretation: -

Model 1

We hypothesized that trustworthy would be positively associated with dominance. This variable explains 22.2% of variation in dominance, F (df regression, df residual) = F, p=0.00,R2=0.222.

Model 2

We hypothesized that trustworthy would be positively associated with attractive. This variable explains 34% of variation in dominance, F (df regression, df residual) = F, p=0.00,R2=0.34.

Model 3

We hypothesized that trustworthy would be positively associated with disgust. This variable explains 28.2% of variation in dominance, F (df regression, df residual) = F, p=0.00,R2=0.282.

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