Tests of Between-Subjects Effects Dependent Variable: rating Type III Sum of Squares Source df Mean Square...

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Tests of Between-Subjects Effects Dependent Variable: rating Type III Sum of Squares Source df Mean Square F Sig. Corrected Model 262.216* 87.405 3 13.184 .000 Intercept 4995.244 4995.244 753.499 000 Attractiveness 38.030 38.030 5.737 .018 Commitment 87.423 1 87.423 13.187 .000 Attractiveness • Commitment 136.762 136.762 20.630 .000 Error 1299.363 196 6.629 Total 6556.822 200 Corrected Total 1561.578 199 a. R Squared = .168 (Adjusted R Squared = .155) Question on conclusions - Based on the SPSS above, at the 1% significance level, we can conclude: There is an effect from the interaction between attractiveness and commitment on the mean rating There is an effect from attractiveness on the mean rating There is no effect from commitment on the mean rating Tests of Between-Subjects Effects Dependent Variable: rating Type III Sum of Squares Source df Mean Square F Sig. Corrected Model 262.216* 87.405 3 13.184 .000 Intercept 4995.244 4995.244 753.499 000 Attractiveness 38.030 38.030 5.737 .018 Commitment 87.423 1 87.423 13.187 .000 Attractiveness • Commitment 136.762 136.762 20.630 .000 Error 1299.363 196 6.629 Total 6556.822 200 Corrected Total 1561.578 199 a. R Squared = .168 (Adjusted R Squared = .155) Question on conclusions - Based on the SPSS above, at the 1% significance level, we can conclude: There is an effect from the interaction between attractiveness and commitment on the mean rating There is an effect from attractiveness on the mean rating There is no effect from commitment on the mean rating

Answer rating: 100% (QA)

Using the SPSS output data table pvalue for commitment eff... View the full answer