Use the results in the table to (a) draw a normal plot, (b) determine the linear correlation between the observed values and expected z-scores, (c) determine the critical value in Table VI to assess the normality of the data.
Step 1 of 5) Use the results in the table to (a) draw a normal plot, (b) determine the linear correlation between the observed values and expected z-scores, (c) determine the critical value in Table VI to assess the normality of the data. Notice that Excel provides a correlation matrix, which means that for every pair of columns in the spreadsheet it will compute and display the correlation in the bottom triangle of the matrix. Because the linear correlation coefficient is positive, we know above-average values of x, club-head speed, are associated with above-average values of y, driving distance, and below-average values of x are associated with below-average values of y.
