How does the type of density dependence influence population growth under the logistic model? Use graphs from your simulations of the theta-logistic model to demonstrate how the form of density dependence influences growth and where a manager would want to maintain the population for maximum sustained yield. dd(500,.2,1.5,.5) ricker.dd(500,.2,2.5,.25) Observed Growth Rate 0.00 0.10 0.20 # Added 40 80 120 0 0 Linear Weak Strong 200 400 600 Population Size ricker.dd(500,.4,4.5,.5) 0 100 Linear Weak Strong 300 Population Size 500 # Added 20 40 # Added 200 400 0 0 Linear Weak Strong 0 100 300 500 Population Size ricker.dd(800,.75,9,.85) Linear Weak Strong 0 200 400 600 800 Population Size

Can you please check my answers, I dont think they are right, the first part is the question the second part are my answers     Question 1: A researcher wishes to examine the relationship between the population growth rate (POPG), the percentage change in the size of a country’s population and a country’s average life expectancy (LEXP). The POPG variable is measured in percentages, so if POPG = 6,  then the population growth rate is 6%.  Specifically, the researcher wants to estimate the relationship: LEXPi = β0 + β1 (POPGi) + ui, where i denotes observations of an entire country in 1998.  The researcher collects data on 68 countries and reports the results. Please answer the following questions. The researcher, being an experienced growth economist, believes there to be a negative relationship between population growth and life expectancy.  Suppose the OLS estimates of population parameters give the following SRF (standard errors are provided below each estimate in parentheses)…

Hint: Do calculations manually and show all workings

Part c plz give explanation