Use the given information to answer the question.
The population of rabbits varies with the season due to migration, birth and death. The number, N, of rabbits during month x on a certain midwestern farm can be estimated with the following graph, where
![](data:image/png;base64, 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)
corresponds to January, x = 2 corresponds to February, and so on.
![](data:image/png;base64, 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)
How many rabbits left the area or died between September and October?
◦ 119 rabbits
◦ 28 rabbits
◦ 23 rabbits
◦ 14 rabbits