Which of the following is NOT an assumption for Pearson Correlations (r)? Each variable measured should be quantitative Each X must have a corresponding Y The data have a non-linear relationship The spread of the data is normally distributed QUESTION 33 The mean change in muscle thickness observed after a 4-week training regimen was 4 mm, and the 95% confidence interval (CI) for mean change was (-0.5, 8.5). Which is the best scientific conclusion for the effectiveness of this regimen? An increase in 4 mm is impressive, so the regimen has been proven effective. Although a mean increase was observed, it is not statistically significant because the 95% CI includes zero change. The lower limit of the CI is less than zero, which means a new person undergoing this training can be expected to lose muscle thickness. The upper limit of the CI is greater than 8, which means that an increase of 8 mm is our best prediction for a new person undergoing this training. 2 poin