The data set provided in StatCrunch contains a simple random sample of 29 wild fisheries.A marine biologist is researching the relationship between biomass (total mass of living matter within a given area) and other environmental factors measured for each wild fishery. Biomass is measured in metric tons. Consider the explanatory variables [heavy metal concentration (Metal), measured in mg/g, number of fish species in the fishery (Species), and the area of the fishery (Area), measured in acres] and use them to attempt to predict a fishery's total biomass (Biomass).The dataset is called "Fisheries." A marine biologist believes the explanatory variable, "Area" will be the best predictor of the response variable.

i) 13 it meaningful to interpret the yintercept for \"Area\" and \"Biomass\"? Why or why not? j) State r2 (i.e., the coefcient of determination) for \"Area\" and \"Biomass\" and explain what this value means in context of the data set