![]() We can find Kendall’s Correlation Coefficient for multiple variables by simply typing more variables after the ktau command. In this case, the p-value is 0.0662, which indicates there is not a statistically significant correlation between the two variables at α = 0.05. Prob > |z|: This is the p-value associated with the hypothesis test.In this case, tau-b = -0.1752, indicating a negative correlation between the two variables. We typically use this value instead of tau-a because tau-b makes adjustments for ties. Kendall’s tau-b: This is Kendall’s correlation coefficient between the two variables.Because there were some missing values for the variable rep78, Stata used only 69 (rather than the full 74) pairwise observations. Number of obs: This is the number of pairwise observations used to calculate Kendall’s Correlation Coefficient.We can find Kendall’s Correlation Coefficient between the variables trunk and rep78 by using the ktau command: How to Find Kendall’s Correlation in Stata Spearman Correlation between gear_ratio and rep78 = 0.4275 | p-value = 0.0002.Spearman Correlation between trunk and gear_ratio = -0.5187 | p-value = 0.0000.Spearman Correlation between trunk and rep78 = -0.2235 | p-value = 0.0649.Spearman trunk rep78 gear_ratio, stats(rho p) ![]() We can find the correlation coefficient and the corresponding p-value for each pairwise correlation by using the stats(rho p) command: We can find the Spearman Correlation Coefficient for multiple variables by simply typing more variables after the spearman command. In this case, the p-value is 0.0649, which indicates there is not a statistically significant correlation between the two variables at α = 0.05. Prob > |t|: This is the p-value associated with the hypothesis test.As one increases, the other tends to decrease. In this case, it’s -0.2235, indicating there is a negative correlation between the two variables. Spearman’s rho: This is the Spearman correlation coefficient.Number of obs: This is the number of pairwise observations used to calculate the Spearman Correlation Coefficient.We can find the Spearman Correlation Coefficient between the variables trunk and rep78 by using the spearman command: ![]() How to Find Spearman Correlation in Stata
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