For each X=Ydata set (n=12): Data Set (a) X 4.7 25.9 6&5.6 49.6 58.3 26.7 39.5 56.8 98.83 35.9 39.9 Y 5.8 18.1 1e.6 11.9 11.4 14.6 15.7 4.4 2.2 15.4 14.7 Data Set (b) X 5.1 5%.8 72.3 86.4 31.1 41.8 48.7 36.8 42.7 28.9 24.8 Y 15.7 17.5 15.2 28.6 7.3 8.2 9.8 8.2 13.7 11.2 7.5 Data Set (c) X 53.3 18. 49.8 43.8 68.3 3 1 .4 18.6 45.8 3 Y 18.2 6.9 14.8 13.4 16.8 5 .8 56.7 68.3 16.3 16.4 5 11.4 18.9 3 Click here for the Excel Data File (a) Match the data sets to the scatter plots below. 40 60 80 100 () Data Set(a) O Data Set(b) (O Data Set (c) \f25 20 15 > 10 5 O 20 40 60 80 X O Data Set (a) O Data Set (b) O Data Set (c) (b) Use Excel to calculate the sample correlation coefficient for each data set. (Negative amounts should be indicated by a minus sign. Round your answers to 4 decimal places.) Data Set (a) Data Set (b) Data Set (c)(c) Match the data sets to the scatter plot descriptions. There appears to be a weak, positive relationship. ) Data Set (a) ) Data Set (b) ) Data Set (c) There appears to be a strong, positive linear relationship. ) Data Set (a) ) Data Set (b) ) Data Set (c) There appears to be a strong, negative linear relationship. ) Data Set (a) ) Data Set (b) ) Data Set (c)