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Complete the following instructions: i. Identify the independent and dependent variables. ii. Calculate and interpret the Pearson correlation coefficient / for the paired data. Be sure to indicate if the correlation is positive or negative, and whether it is strong, moderate, or weak, or if there does not appear to be any significant correlation. In a study on the satisfaction of college-age students with their part-time jobs, the average number of hours workedin a given week was recorded for 10 different students at 10 different jobs, along with their overall level of satisfaction (on a scale of 1-10), to see if there was any correlation between the number of hours worked in a given week and the level of satisfaction with the job. All 10 students worked in the same industry in roughly the same geographical area.\fIndependent Variable: (click to select) Dependent Variable: (click to select) v ii. Pearson's correlation coefficient (r): Round to 3 decimal places. Correlation: (click to select) Correlation Strength: (click to select) vThe estimated regression equation 3': = 916.31 4.37;.- was obtained using the (x, y) pairs of observations in the table below. Determine the missing values. Report .1: and y as whole numbers. Report fir and residuals accurate to two decimal places. a. Fill in the correct values of the bivariate data in the table below. A B C D E X y b. The linear relationship between the two variables is: O positive. negative