1. Calculate the correlation coefficient: analysis-correlation-bivariate-variance-selection variable OK, and the output is the correlation coefficient matrix, Sig. Below the correlation coefficient is the p value of the significance test result, and the closer it is to 0, the more significant it is. In addition, the judgment result of significance test will be displayed under the table, and you can see the explanation below the table, such as "* *". The correlation is significant at the level of 0.0 1 (two tails). "

That is to say, if there is a "* *" symbol after the correlation coefficient, it means that there is significant correlation at the significance level of 0.0 1.

Secondly, draw a scatter plot: chart-scatter plot/point.

For example, drag "math score" and "student number" into the Y-X check box at the same time, OK! ! !