Below is the output of a linear regression of stack loss (an Inverse measure of a chemical plant's efficiency) and airflow from the stackloss dataset in R. Given the results below, what percentage of the variability in stack loss was explained by airflow? Call: Informala = stack.loss ~ Air.Ylov, data = stackloss) Residuals: Min Median 30 Max -32.2896 -1.1272 -0.0459 1.1160 Confficients: Estimate Std. Error t value Pr [Itll [ Intercept) -44-13202 6.10586 -7-238 7-310-07 . 1.02031 O_ODDDS 10.208 3.176-09 ... Signif. codex: 0 ....' 0.001 "ww. 0.01 .". 0.05 . .' 0.1 . . Residual standard error: 4.098 on 10 degrees of freedom Multiple R-squared: 0.8459, Adjusted R-squared: 0.8317 Y-statistic: 104.2 om 1 and 10 DY, p-value: 3.1740-09