Measure the relationship between two numeric data variables by calculating the correlation coefficient.
Details The statistical model used to test for the correlation between two variables of a given dataset. The Correlation Coefficient (r) ranges from -1.0 to +1.0. The closer r is to either of these values, the more closely the two variables are related. If r is closer to 0, it means there is little or no relationship between the two variables. 1 denoted in the output below refers to the test statistic. In this example, r is closer to 1 than it is to 0 signalling a strong correlation.
|column1||Yes||Column Input. Integer, Decimal||Numerical variable upon which the test will be computed.|
|column2||Yes||Column Input. Integer, Decimal||Numerical variable upon which the test will be computed.|
|use||Yes||Select from five options||How you would like to handle missing data, all.obs assumes no missing data. Select from everything, all.obs, complete.obs, na.or.complete, pairwise.complete.obs.|
|method||Yes||Select from two options||Specify the type of correlation to calculate. Choose between Pearson and Spearman.|