L PART 3. Output 1: Control Variables HOURS SPA SLEEP HOURS Correlation 1.000 705 Significance (2-tailed) 000 Df 26 GPA Correlation 705 1.000 Significance (2-tailed) .000 Df 26 11. (2pts) According to Output 1, what type of relationship is this analysis investigating, AND, was this relationship real or likely due to chance? Output 2: Sum of Squares if Mean Square F Sig Between Groups 403.667 3 134.556 2.525 061 Within Groups 6182.200 116 53.295 Total 6585.867 119 12. (2pts) According to Output 2, how many groups were being compared, AND, was there a significant difference between at least two of these groups? Output 3: Paired Differences 95% Confidence Interval of the Difference Std. Error Mean Bid. Deviation Mean Lower Upper Big. (2-tailed) Pair 1 Test1 - Test2 3.567 2.359 131 2.686 4.447 8.282 29 300 13. (2pts) According to Output 3, did test scores come from two different groups or the same group tested twice, AND, how do you know this? Output 4: Sum of Model Squares df Mean Square F Sig. Regression 301.981 3 100.660 9.244 000 Residual 272.226 25 10.889 Total 574.207 28 14. (2pts) According to Output 4, what percentage of the dependent variable is accurately being predicted by the regression model?.15. {1 pt) Which Output above does NOT require a Tukey posthoe test? :1. Output 1 Outputs 3 and 4 Outputs 1, 3,and 4 None of the outputs require a posthot: test F'F'P' 16. {lpt) Which Output above reects a test of \"differences\"? 21. Output 1 b1 Outputs 2 and 3 e. Outputs 2, 3, and 4 cL None of the outputs test for differences