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The correlate command displays the correlation matrix or covariance matrix for a group of variables. If varlist is not specified, the matrix is displayed for all variables in the dataset.
Correlations measure the strength and direction of the linear relationship between the two variables. The correlation coefficient can range from -1 to +1, with -1 indicating a perfect negative correlation, +1 indicating a perfect positive correlation, and 0 indicating no correlation at all.
Learn, step-by-step with screenshots, how to carry out a Pearson's correlation using Stata and how to interpret the output.
18 Μαρ 2020 · Here is how to interpret the output: Pearson Correlation between weight and length = 0.9460 | p-value = 0.000; Pearson Correlation between weight and displacement = 0.8949 | p-value = 0.000; Pearson Correlation between displacement and length = 0.8351 | p-value = 0.000; How to Find Spearman Correlation in Stata
ktau displays Kendall’s rank correlation coefficients between the variables in varlist or, if varlist is not specified, for all the variables in the dataset. ktau is intended for use on small- and moderate-sized datasets; it requires considerable computation time for larger datasets. Quick start.
Learn, step-by-step with screenshots, how to carry out a Pearson's correlation using Stata and how to interpret the output.
12 Μαρ 2020 · In these cases, we can create a correlation matrix, which is a square table that shows the the correlation coefficients between several pairwise combination of variables. In this tutorial we explain how to create a correlation matrix in Stata.
