ENV 220 Creating Graphs Template

This table shows the relationship between the mule deer population and their recruitment rate is strong. 7. When you square the correlation coefficient, meaning you multiply the correlation coefficient by itself, you end up with the coefficient of determination (R 2 ). This number is always between 0 and 1. It measures how much of the variance exists in the dependent variable (recruitment rate) that can be explained by the independent variable (the population size). The correlation of determination is displayed on your graph as R 2 and represents a percentage. What is your coefficient of determination? The coefficient determination is R2=0.6073 8. What does the coefficient of determination tell you about your data? The coefficient of determination tells me that the data collected its rate is moderate. It is not weak or strong. 9. In your graph, does your data show a positive or negative correlation? The graph shows a negative correlation 10. What does that say about the relationship between population size and mule deer recruitment rate? As the mule deer population increases the recruitment rate decreases. Activity Two You are an ecologist studying algal biomass during eutrophication events. Eutrophication occurs when an excessive amount of nutrients enters a water body, frequently due to runoff, and causes a rapid growth of plants and algae, which leads to a shortage of oxygen in the water and the die-off of other aquatic organisms. You want to determine how the amount of nitrogen in micrograms per liter (µg/L) in the aquatic environment affects algal biomass represented by grams (dry weight) per liter (g-dw/L). You perform a lab-based study using the following nitrogen concentrations (500, 1500, 2500, 5000 micrograms per liter (µg/L)) and collect the following data. Use Excel to calculate the mean and standard deviation. Then complete the table. Time (Day) Nitrogen (Micrograms per Liter (µg/L)) Algal Biomass (Grams (Dry Weight) per Liter (g-dw/L)) Trial 1 Trial 2 Trial 3 Mean Standard Deviation 0 500 .2 .2 .2 0.20 0.00 1 .4 .3 .45 0.38 0.08 2 1.3 1.35 1.27 1.31 0.04 3 1.65 1.6 1.65 1.63 0.03 4 1.8 1.9 1.8 1.83 0.06 0 1500 .2 .2 .2 0.20 0.00 1 .5 .5 .6 0.53 0.06 2 1.25 1.3 1.29 1.28 0.03 3 1.68 1.7 1.65 1.68 0.03 3