Coefficient | Estimate | Standard error | t statistic | p-value | 95%CI |
---|---|---|---|---|---|
Regression of MMR on NID | |||||
Intercept | 241.1280 | 74.7787 | 3.2245 | 0.0037518 | 86.43–395.82 |
Slope | 6.6043 | 2.1167 | 3.1201 | 0.004813 | 2.22–10.98 |
R-Squared | 0.2974 | 196.3519 |
ANOVA | DF | SS | MS | F Statistics | F-significance |
---|---|---|---|---|---|
Regression | 1 | 375,317.7132 | 375,317.7132 | 9.734839 | 0.004813 |
Residual | 23 | 886,743.7268 | 38,554.07508 | ||
Total | 24 | 1,262,061.44 |
Coefficient | Estimate | Standard error | t statistic | p-value | 95%CI |
---|---|---|---|---|---|
Regression of LTR on NID | |||||
Intercept | 0.0078 | 0.0042 | 1.8740 | 0.0737 | -0.0008–0.0164 |
Slope | 0.0004 | 0.0001 | 3.7268 | 0.0011 | 0.0002–0.0007 |
R-Squared | 0.3765 | 0.0109 |
ANOVA | DF | SS | MS | F Statistics | F-significance |
---|---|---|---|---|---|
Regression | 1 | 0.0016 | 0.0017 | 13.889 | 0.0011 |
Residual | 23 | 0.0028 | 0.0001 | ||
Total | 24 | 0.0044 |
Coefficient | Estimate | Standard error | t statistic | p-value | 95%CI |
---|---|---|---|---|---|
Regression of MMR on LTR | |||||
Intercept | 100.1198 | 25.8967 | 3.8661 | 0.0007 | 46.54–153.69 |
Slope | 16,154.06 | 1041.36 | 15.5124 | < 0.0001 | 13,999.8–18,308.3 |
R-Squared | 0.9128 | 69.1894 |
ANOVA | DF | SS | MS | F Statistics | F-significance |
---|---|---|---|---|---|
Regression | 1 | 1,151,956.37 | 1,151,956.37 | 240.6338 | < 0.0001 |
Residual | 23 | 110,105.07 | 4787.18 | ||
Total | 24 | 1,262,061.44 |