# Proc corr output options sportfishing

For example, if the science test was dportfishing easy for most students, the upper range of the scale would be restricted and the correlation coefficient would not reflect the true correlation between science and the other variables.

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Also, you can use either continuous or dichotomous e. From the scatterplot of the variables read and write below, we can see that the points tend along a line going from the bottom left to the upper right, which is the same as saying that the correlation is positive. You can make a scatterplot matrix just like you can make a correlation matrix. The correlation coefficient can be misleading if the range of the variable is restricted. This graph shows you the strength and direction of the relationship between the two variables just like the correlation coefficient. By default, proc corr uses pairwise deletion for missing observations, meaning that a pair of observations one from each variable in the pair being correlated is included if both values are non-missing.

### Summary statistics

In this example, all students had scores for all tests. Variable — This gives the list of variables that were used to create the correlation matrix. Std Dev — This is the standard deviation of the variable. If you use the nomiss option on the proc corr statement, proc corr uses listwise deletion and omits all observations with missing data on any of the named variables. Label — This is the label of the variable the variable label. This is the same list as that on the var statement in proc corr code above.

## Base SAS(R) 9.4 Procedures Guide: Statistical Procedures, Second Edition

Mean — This is the mean or average of the variable. A variable correlated with itself will always have a correlation coefficient of 1. You can think of the correlation coefficient as telling you the extent to which you can guess the value of one variable given a value of the other variable. This is the value obtained if you added up all of the values for that variable. Variable labels are a form of data documentation and usually provide additional information about what the variable is. N — This is the number of valid i.