Is there evidence suggesting that the Independent Variable influenced the outcome?

Pairwise Comparisons Measure: MEASURE_1 95% Confidence Interval for Difference (a) Mean Difference (0) time (J) time (IJ) Sid. Error Sig.(@) Upper Bound Lower Bound 12.000(") 3.098 007 2.757 21.243 WN 17.000(") 2.586 000 9.284 24.716 15.000(") 3.009 001 6.022 23.978 2 -12.000(") 3.098 007 21.243 -2.757 3 5.000 1.845 1089 .507 10.507 3.000 2.586 1.000 4.716 10.716 17.000(") 2.586 000 -24.716 9.284 2 -5.000 1.845 089 -10.507 .507 4 -2.000 2.951 1.000 10.805 6.805 -15.000(") 3.009 001 -23.978 6.022 -3.000 2.586 1.00 -10.716 4.716 2.000 2.951 1.00 -6.805 10.805 Based on estimated marginal means The mean difference is significant at the .05 level a Adjustment for multiple comparisons: Bonferroni. Multivariate Tests Value Hypothesis df Error of Sig Pillai's trace 795 19.341(a) 3.000 15.000 000 Wilks' lambda 205 19.341(a) 3.000 15.000 000 Hotelling's trace 3.868 19.341(a) 3.000 15.000 .000 Roy's largest root 3.868 19.341(a) 3.000 15.000 000 Each F tests the multivariate effect of time. These tests are based on the linearly independent pairwise comparisons among the estimated marginal means. a Fract statistic Estimated Marginal Means of MEASURE_1 Estimated Marginal Mea mad time Profile Plots