Given the following Statistics from RStudio, answer the question below:: mod.type summary(mod.type) Call: lm(formula = Elev ~ Type, data = trees) Residuals: Min 1Q Median

Given the following Statistics from RStudio, answer the question below:: mod.type<-lm(Elev~Type, data=trees) > summary(mod.type) Call: lm(formula = Elev ~ Type, data = trees) Residuals: Min 1Q Median 3Q -1586.88 -553.73 -58.88 544.05 Max 2207.41 Coefficients: Estimate Std. Error t value (Intercept) 1720.02 73.52 23.394 Type -103.14 22.20 -4.647 Pr(>|t|) (Intercept) < 2e-16 *** Type 4.32e-06 *** --- Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1 Residual standard error: 700.5 on 497 degrees of freedom Multiple R-squared: 0.04164, Adjusted R-squared: 0.03971 F-statistic: 21.59 on 1 and 497 DF, p-value: 4.323e-06 What are the point estimate and 95% confidence intervals for the coefficients from the lm() regression of tree type explaining elevation