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setup a predictive equation involving variable 1 and variable 2. First, you plot the data below...

setup a predictive equation involving variable 1 and variable 2. First, you plot the data below to determine if linear regression applies. variable1 -0.21582 0.56997 -0.54850 -0.12385 0.06975 0.16327 -0.72595 0.22500 -0.40463 0.67652 -0.82322 0.06747 0.74055 -0.71577 -0.82231 -0.47603 0.58094 -0.58573 0.19003 -0.49528 0.93083 0.61389 -0.91742 -0.60957 variable2 0.89369 -0.72620 -0.09185 0.50086 -0.73607 0.88498 -0.27512 0.62647 0.92432 0.56368 0.73005 -0.74824 0.79412 -0.04509 -0.70951 0.01573 0.51169 0.10376 -0.90089 0.04767 -0.16886 -0.65529 0.25296 -0.24747 Choose your answer from the following: a) The relationship is linear, negative and strong b) The strength of the relationship is moderate, linear and positive c) The strength of the relationship is moderate, linear and negative d) There is no relationship or the strength of the relationship is very weak e) The strength of the relationship is strong but it is not linear f) None of the answers accurately characterize the data g) The relationship is linear, positive and strong

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Answer #1

option d is correct  Pearson correlation of variable1 and variable 2 = -0.008

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