Call: 1m (formula = nspecies_log10 Residuals: ~ area log10, data = gala) Min 1Q Median 3Q -0.67063 -0.17378 0.04087 0.23665 Max 0.59723 Coefficients: (Intercept) 1.26106 Estimate Std. Error t value Pr(>|t|) 0.06822 18.484 < 2e-16 *** area log10 0.38860 0.04160 9.342 4.23e-10 *** --- Signif. codes: ***** 0.001 **** 0.01 '*' 0.05 '.' 0.1 '1 Residual standard error: 0.3406 on 28 degrees of freedom Multiple R-squared: 0.7571, Adjusted R-squared: 0.7484 F-statistic: 87.27 on 1 and 28 DF, p-value: 4.23e-10 Practice #2: Make comments in your script answering the following: What is the estimated value for the slope and the intercept of this model? What does the intercept here correspond to? Remember that the intercept is the predicted mean outcome when the predictor equals zero. What island area would give you a value of zero when log-transformed? And what would the predicted value at zero log-area translate into when transformed back into our original measure of number of species?