Based on the Table produced using the CORR PROC in SAS studio. What can be determined if there is any association among the variables? Explain how to determine the association?

10 Variables: age duration campaign pdays previous emp. var.rate cons.price.idx cons.conf.idx euribor3m nr.employed Simple Statistics Variable IN Mean Std Dev Gum Minimum Maximum abe 4118 40.11382 10.31336 165228 18.00000 88.00000 duration 4119 256.78808 254.70374 1057710 3843 campaign 4119 2.53727 2.56816 10451 1.00000 35.00000 pdays 4119 960.42219 191.92279 3955979 909.00000 previous 4119 0.19034 0.54170 784.00000 8.00000 emp.var.rate 4119 0.08497 1.58311 350.00000 -3.40000 1.40000 cons.price.idx 4119 93.57970 0.57035 385455 02.20100 94.76700 cons.conf.idx 4119 -40.49910 4.50458 -186816 -50.20000 -26.80000 euriborsm 4919 3.82138 1.73350 14916 0.83500 5.04500 nr.employed 4119 5168 73.68780 21280738 4984 5228 Pearson Correlation Coefficients, N = 4119 Prob > Irl under HO: Rho=0 duration udied wes pdays previous emp.var.rate cons.price.idx cons.conf.idx euribor3m nr.employed age -0.00048 0.04194 age 1.00000 0.04130 0.01417 -0.04342 0.05093 0.01919 0.09814 0.01503 0.0080 0.3833 0.0053 0.0011 0.2182 0.9753 <.0001 duration :.0001 campaign pday previous emp.var.rate cons.price.idx cons.conf.idx d.09814 euribor3m .0001 nr.employed>