A standardized test preparation service wants to test the effectiveness of a new study technique. They ask 25 students to take a standardize test and record the student scores. They then prepare those same 25 students using their new study technique. Afterwards, the students take the standardized test again. The results are presented in the table below. Pre-test Score 59 52 44 51 42 42 41 45 27 63 54 44 50 47 55 49 45 57 46 60 65 64 50 74 59 Post-test Score 46 53 45 40 56 38 48 26 3 40 71 46 54 40 53 47 63 53 36 50 37 63 48 75 34 The correlation coefficient for this data is r = Based on the correlation coefficient, we can say that: OA. The new technique must work because scores increased. OB. There is a negative correlation between the pre and post test scores. OC. There is no association between the pre and post test scores OD. There is a positive correlation between the pre and post test scores. OE. The new technique must not work because some scores decreased. State the equation of the best-fit line for this data: Pre-test Score = Post-test Score What proportion of the variation in Post-test Score can be explained by Pre-test Score?