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Please Read the Following Scenario to Answer the Following Questions

question 29

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Please read the following scenario to answer the following questions.
Michigan's Isle Royale is an island located in Lake Superior that is 45 miles long and 9 miles wide.Ecologists estimate that the moose population on the island has been there since around 1900.The wolf population on the island,on the other hand,has been there only since the winter of 1949.Weather conditions had to be calm and cold enough for the lake to freeze and the first wolves to make the passage over to the island.When the wolves arrived,they were greeted with a large moose population that had no predators.The moose population was at a dangerously high level,but was kept in check by the arrival of the wolves.This "harmonious" pattern continued for at least 20 years.
In 1982,the wolf population suddenly crashed.The problem was a new canine virus.This virus surfaced around the world in 1978 and spread rapidly in about 6 months.Infected animals can survive,but they have to be treated immediately.Ecologists hypothesized that the virus arrived on the island carried on the shoe of a human traveler.The wolf population decreased from 50 to 14 individuals in a year.While the wolf population dropped,the moose population increased.However,the winter of 1996 was extremely harsh and the moose population experienced a major crash.More than 500 animals died during the winter months,reducing the population to less than 800 animals.
-During a 1-year study,a graduate student attempted to count the wolves and moose on the island.He estimated that there were 950 moose and 120 wolves.How many organisms,populations,and species were included in this study?

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Definitions:

Regression Analysis

Regression Analysis is a statistical technique for estimating the relationships among variables, often used to determine how dependent variables are influenced by one or more independent variables.

Dependent Variable

The variable in an experiment or model whose value depends on the values of one or more independent variables.

Linear Relationship

A type of relationship between two variables where the relationship can be graphically represented by a straight line, indicating a constant rate of change.

Causal Relationship

A connection between two variables where a change in one variable is responsible for a change in another variable.

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