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.

• Is it meaningful to interpret they-intercept for "Area" and "Biomass"?Why or why not?

• Stater²(i.e., the coefficient of determination) for "Area" and "Biomass" and explain what this value means in context of the data set.