I. Introduction each group must state the scenario on what are the two variables that they want to correlate and how many respondents. II. Hypotheses - each group must state the null and alternative hypotheses based on the given scenario. III. Significant Level and r-critical - each group must state the level of significant and determine the r-critical using the r-table. IV. Compute your data using the Pearson-moment Correlation r. each group must compute for r-computed using Pearson-moment correlation r Y X # of hours score in Respondents spend in performance tasks no. 1 X2 Y2 XY student (final coverage) SX2= LY2= EXY= XM r=n[XY-[X_Yn_X2-_x2n _Y2-ZY2 V. Compare your r-critical and r-computed for decision making. -each group must compare the r-critical and r-computed if they will reject or fail to reject the null hypothesis. VI. Conclusion. -each group must state their conclusion and interpret the data