To study the relationship between the grass height and the landscape (slope) in a given Park in South Africa, a statistician decides to t the following generalized linear model using the variables described below (The data was stored in the object datl). The unit of measurement is a pixel. m2 = glm(Height ~ Slope, family 2 binomialiuk = \"logit\"),data = datl) Where Height (response in cm], coded as 1 for patchy grass, and 0 otherwise, is the height of grass. Slope (the explanatory variable, in degree) is the slope of the surface. The above model for binary responses was run in R and resulted in the following output. Jlttered Observations :3 Q J 5: 3:: ' . . 10 ,n'J_q'_'._$._-h__' __________ n. .I . h D 08 f. .: O E. : 0: . ql .C .930'6 E 0.4 0.2 0.0 | | | | 0 5 10 15 Slope Coefficients: Estimate Std. Error 2 value Pr{}|z|) (Intercept) 1.58353 0.13549 ll.688