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variable 1 variable2 -8.78162 18.34055 7.39749 2.85607 3.75278 6.23950 -3.91953 13.58786 -7.62142 18.08145 -4.59753 12.85170 -3.41580 13.45867 -0.28752 8.95585 -8.37001 18.84054 6.00523 3.95631 -3.85438 13.08315
variable 1 variable2 -8.78162 18.34055 7.39749 2.85607 3.75278 6.23950 -3.91953 13.58786 -7.62142 18.08145 -4.59753 12.85170 -3.41580 13.45867 -0.28752 8.95585 -8.37001 18.84054 6.00523 3.95631 -3.85438 13.08315 -2.86084 13.53479 4.42861 4.86409 -1.24050 9.81458 -4.80313 15.31168 -5.14316 14.74720 -7.41768 17.07810 -5.39179 15.51509 2.34057 8.38950 -8.82911 19.72766 -1.77868 11.60777 -8.99293 18.44845 -7.83663 18.07113 1.56835 7.71226Correlation - Qualitative Assessment Question 22 (4 points) Scatter plots are used to discover relationships between variables. Using the corresponding measurements of variable 1 and variable2 in DATA, plot variable1 vs. variable2 and describe the correlation between variable 1 and variable 2. There is no relationship, or the strength of the relationship is very weak The relationship is linear, positive, and strong. The strength of the relationship is strong, but it is not linear. The strength of the relationship is moderate, linear, and negative. ONone of the answers accurately characterize the data. The relationship is linear, negative, and strong. The strength of the relationship is moderate, linear, and positive. Previous Page Next Page Page 22 of 27
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