density dependence
1. Is based on the geometric model of population growth 2. Does not incorporate density dependence 3. Extend model to two species-populations
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density dependence
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Binary logistic regression is a statistical method used to model the relationship between a categorical dependent variable with two levels and one or more independent variables. It estimates the probability that an observation belongs to one of the two categories based on the values of the independent variables. The output is in the form of odds ratios, which describe the influence of the independent variables on the probability of the outcome.
Logistic Model
We can examine competition by modifying the logistic equation to obtain the Lotka-Volterra Model.
An exponential model has a j-shaped growth rate that increases dramatically over a period of time with unlimited resources. A logistic model of population growth has a s-shaped curve with limited resources leading to a slow growth rate.
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The life history pattern in which population growth is logistic is called the logistic growth model. It is characterized by an initial period of exponential growth followed by a gradual decline in growth rate as the population approaches its carrying capacity due to limited resources.
in general regression model the dependent variable is continuous and independent variable is discrete type. in genral regression model the variables are linearly related. in logistic regression model the response varaible must be categorical type. the relation ship between the response and explonatory variables is non-linear.
False it is not constant