The following results were obtained through a Multiple Linear Regression analysis. This dataset contains the measured above-ground biomass of oak seedlings (in grams) along with their measured basal diameters (in mm), measured heights (in cm), and number of leaves. Write the equation that describes the following Multiple Regression Results. Note" Think carefully about the equation you are about to write. You earn credit for the correct answer only. > model1 = gim(biomass ~ ., data = oakData) > summary(model1) Call: gim(formula = biomass ~ ., data = oakData) Deviance Residuals: Min 1Q Median 3Q Max -0.33018 -0.04959 0.01250 0.07744 0.22787 Coefficients: Estimate Std. Error t value Pr(>It) (Intercept) -0.286251 0.087679 -3.265 0.002974** basalDiam 1.848193 0.467631 3.952 0.000502 +** height -0.001376 0.014740 -0.093 0.926294 leaves 0.091190 0.014502 6.288 9.94e-07 *** Signif. codes: 0 "." 0.001 0.01 0.05 0.1 "'1 (Dispersion parameter for gaussian family taken to be 0.01617867) Null deviance: 4.42217 on 30 degrees of freedom Residual deviance: 0.43682 on 27 degrees of freedom AIC: -34.154 Number of Fisher Scoring iterations: 2