Usually used when experimentation is not possible or when you are more interested in relations among data as opposed to between data. B. Scatterplot 1. shows relationship between 2 scores on a graph 2. Indicates the magnitude and direction of linear relationship between 2 variables. Use formula 10.2 for computing the Pearson r. D. Testing for significance 1. For Pearson r, use Table D. E. Regression equations 1.
Regression means prediction.
Regression line is the straight line that comes closes to the scores in a scatter plot given one of the variables. So, if we have a correlation between the variables, then we should use this information to predict scores. The Spearman r is used when we only have ranked data that is, we don t have raw scores, we just have how the individuals placed compared to the others in the group. This is still a correlation coefficient, but it is just the linear correlation between ranks, not scores. If you were to calculate a Spearman r and a Pearson r for data, they would be similar but not exactly the same.