Baseline Call: lm(formula = A ~ x1) Residuals: 1 2 3 4 5 6 -0.5238 1.6190 -3.2381 0.9048 4.0476 -2.8095 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 8.6667 2.8873 3.002 0.0399 * x1 -0.1429 0.7414 -0.193 0.8566 --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 Residual standard error: 3.101 on 4 degrees of freedom Multiple R-squared: 0.009197, Adjusted R-squared: -0.2385 F-statistic: 0.03713 on 1 and 4 DF, p-value: 0.8566 Mann-Kendall Trend Test and Sen's Regression Corrected Zc new P-value N/N* Original Z old P.value Tau 0.0000000 1.0000000 0.4680498 0.0000000 1.0000000 0.0000000 Sen's slope old.variance new.variance 0.0000000 27.3333333 12.7933599 Intervention Call: lm(formula = B ~ x2) Residuals: Min 1Q Median 3Q Max -5.164 -3.573 1.000 1.800 8.764 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 14.4000 3.0459 4.728 0.00108 ** x2 -0.5818 0.4491 -1.296 0.22738 --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 Residual standard error: 4.71 on 9 degrees of freedom Multiple R-squared: 0.1572, Adjusted R-squared: 0.06353 F-statistic: 1.678 on 1 and 9 DF, p-value: 0.2274 -Mann-Kendall Trend Test and Sen's Regression Corrected Zc new P-value N/N* Original Z old P.value Tau -1.1907266 0.2337609 0.6230900