Based on the given information, it is true that there is a pretty strong positive linear correlation between the number of beds in a hospital and the average length of patient stays. The correlation coefficient of r = 0.78 indicates a relatively strong positive relationship between these two variables.

However, it is important to note that correlation does not imply causation. Therefore, we cannot conclude that increasing hospital size is the cause of longer patient stays based solely on this correlation. There may be other factors or variables at play that contribute to the relationship between hospital size and patient stay length.

One possible lurking variable that could be behind this relationship is the severity of illness. It is possible that larger hospitals tend to treat more severe cases, which would naturally result in longer patient stays. Without further investigation and controlling for other variables, it is difficult to determine the exact cause and effect relationship between hospital size and patient stay length.

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Based on the given information, it is true that there is a pretty strong positive linear correlation between the number of beds in a hospital and the average length of patient stays. The correlation coefficient of r = 0.78 indicates a relatively strong positive relationship between these two variables.

However, it is important to note that correlation does not imply causation. Therefore, we cannot conclude that increasing hospital size is the cause of longer patient stays based solely on this correlation. There may be other factors or variables at play that contribute to the relationship between hospital size and patient stay length.

One possible lurking variable that could be behind this relationship is the severity of illness. It is possible that larger hospitals tend to treat more severe cases, which would naturally result in longer patient stays. Without further investigation and controlling for other variables, it is difficult to determine the exact cause and effect relationship between hospital size and patient stay length.

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Based on the given information, it is true that there is a pretty strong positive linear correlation between the number of beds in a hospital and the average length of patient stays. The correlation coefficient of r = 0.78 indicates a relatively strong positive relationship between these two variables.

However, it is important to note that correlation does not imply causation. Therefore, we cannot conclude that increasing hospital size is the cause of longer patient stays based solely on this correlation. There may be other factors or variables at play that contribute to the relationship between hospital size and patient stay length.

One possible lurking variable that could be behind this relationship is the severity of illness. It is possible that larger hospitals tend to treat more severe cases, which would naturally result in longer patient stays. Without further investigation and controlling for other variables, it is difficult to determine the exact cause and effect relationship between hospital size and patient stay length.

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