Determine if there is a significant correlation between the sets of data at a 10% significance level. x60 25 49 50 51 30 27 54 33 33 y79547172725755745959 Negativecmcawmue, w :] [three decimal accuracy] Positivecmicalvwe' w :] [three decimal accuracy] TestStatisticwtesc :] [three decimal accuracy] Test Conclusion: 0 Fail to Reject Ho. There is not enough evidence to suggest a significant (positive or negative) linear correlation between the data sets. 0 Reject Ho. There is enough evidence to suggest a significant (positive or negative) linear correlation between the data sets. Based on the data shown below, calculate the regression line. X y 2 13.2 3 10.9 4 9.5 5 8.9 6 7.9 7 9.7 8 7.8 y = x + [three decimal accuracy] [three decimal accuracy]Here is a bivariate data set. 96.4 61.5 98.8 87.3 53.9 86.4 I 27.7 | 78.4 74.5 63.4 72.4 62.8 16.7 | 72.8 | 38.8 | 92.2 | 119.7 92.7 Find the correlation coefficient. [three decimal accuracy] What proportion of the variation in y can be explained by the variation in the values of x? Report answer as a percentage accurate to one decimal place. [one decimal accuracy] Determine if there is a significant negative correlation between the sets of data at a 10% significance level. X 61 39 43 56 36 61 49 47 32 3 35 29 10 37 4 20 23 44 Critical Value, tcrit = [three decimal accuracy] Test Statistic, ttest = [three decimal accuracy] Test Conclusion: O Fail to Reject Ho. There is not enough evidence to suggest a negative significant linear correlation between the data sets. O Reject Ho. There is enough evidence to suggest a negative significant linear correlation between the data sets