Call:lm(formula = B ~ x2)Residuals: Min 1Q Median 3Q Max-6.6545 -4.1909 -0.2455 2.7909 8.7273Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 14.8000 3.6154 4.094 0.00347 **x2 -0.3818 0.5827 -0.655 0.53067 ---Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1Residual standard error: 5.292 on 8 degrees of freedomMultiple R-squared: 0.05094,Adjusted R-squared: -0.06769F-statistic: 0.4294 on 1 and 8 DF, p-value: 0.5307-----------------Mann-Kendall Trend Test and Sen's Regression-------------------------Corrected Zc new P-value N/N* Original Z old P.value Tau-0.40574208 0.68493212 0.44088032 -0.26940795 0.78761577 -0.08888889Sen's slope old.variance new.variance-0.20000000 124.00000000 54.66915946needed=" "8" "TRUE=" "9" -----------------below lines------------------TRUE, TRUE = Number below the lines FALSE TRUE TRUE 1 9

Looking at the variables, test for trending and autocorrelation.

What are the results?

Based on the results, what test(s) of statistical significance could you use to compare the phases?

Please provide all the information necessary to justify your position.