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variable1 variable2 -1.60263 6.66630 5.13511 22.39796 6.36533 48.04439 5.62218 33.73949 -2.19935 13.13368 6.44037 34.07411 7.53576 57.43268 6.84911 46.18391 -0.96507 2.31758 -7.97987 66.45126 7.71148 60.12220 8.00414

variable1 variable2
-1.60263 6.66630
5.13511 22.39796
6.36533 48.04439
5.62218 33.73949
-2.19935 13.13368
6.44037 34.07411
7.53576 57.43268
6.84911 46.18391
-0.96507 2.31758
-7.97987 66.45126
7.71148 60.12220
8.00414 69.34776
-1.84249 -8.58487
-6.64529 35.44469
3.52281 15.81326
6.12823 42.51683
-8.02429 63.53322
1.93739 10.39306
1.60250 -1.67370
9.59542 92.44574
0.97873 -2.22144
7.61991 66.59948
6.35683 35.62167
4.60624 15.37388

Scatter plots are used to discover relationships between variables. Using the corresponding measurements of variable1 and variable2 in DATA, plot variable1 vs. variable2 and describe the correlation between variable1 and variable2

The relationship is linear, positive, and strong. The strength of the relationship is moderate, linear, and negative. There is no relationship, or the strength of the relationship is very weak The relationship is linear, negative, and strong. The strength of the relationship is moderate, linear, and positive. None of the answers accurately characterize the data. The strength of the relationship is strong, but it is not linear.

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