Suppose that the growth-rate parameter k = 0.3 and the carrying capacity N = 2500 in the logistic population model of Exercise 17. Suppose P(0) = 2500. (a) If 100 fish are harvested each year, what does the model predict for the longterm behavior of the fish population? In other words, what does a qualitative analysis of the model yield? (b) If one-third of the fish are harvested each year, what does the model predict for the long-term behavior of the fish population?
Correlation
Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
Suppose that the growth-rate parameter k = 0.3 and the carrying capacity N = 2500
in the logistic population model of Exercise 17. Suppose P(0) = 2500.
(a) If 100 fish are harvested each year, what does the model predict for the longterm
behavior of the fish population? In other words, what does a qualitative
analysis of the model yield?
(b) If one-third of the fish are harvested each year, what does the model predict for
the long-term behavior of the fish population?
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