62 31.3 7'0.5 ?1.?' 74.6 59 75.7 32.1 53.3 59.? 37.1 60.3 63.4 64.? 7'3.3 54.4 33.1 44.3 67.5 52.3 65.5 66.6 74.7 30 7'19 61.9 download link provided here: Download CSV What is the correlation coefficient for this data set? r = {report answer accurate to at least 3 decimal places} To find the p-value for a correlation coefficient, you need to convert to a t-score: n 2 1 r2 This t-score is from a t-distribution with in, 2 degrees of freedom. t2?- What is the p-value for this correlation coefficient? p-value = {report answer accurate to at least 4 decimal places} Your final conclusion is that... '33:? There is sufficient sample evidence to support the claim that there is a statistically significant correlation between the two variables. '13:} There is insufficient sample evidence to support the claim the there is a correlation between the two variables. You wish to determine if there is a Linear correlation between the two variables at a significance level of or = 0.01. You have the following bivariate data set. 7\" Y 91.9 46.7 59.6 117.7 65.4 56.5 94.4 41.8 63.4 94.9 71.6 82.6 64.4 42.3 73.9 80.5 88.8 50.8 89.3 39.9 96 14.5 87.4 69.3 66.8 71.9 77.8 57.5 87.8 43.6 62.4 75.7 64.4 64.9 71.8 57.6 86.2 34 73 51.5 59.6 95.7 65 77.7 88.7 72.3 65.6 86.8 91.3 13.2 62 81.3 Here is a bivariate data set. This data can be downloaded as a *.csv file with this link: Download CSV Find the correlation coefficient and report it accurate to three decimal places. r: 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. R1: 96