What does it mean to say that a country's land arts is positively correlated with its population?
The larger the land area of a country, the higher is population trends to be.
The smaller the land area of school country, the higher is population trends to be.
There is no relationship between a country's land area and its population.
A larger land area automatically means a higher population.
The larger the land area of a country, the higher its population tends to be.
The statement "The larger the land area of a country, the higher is population trends to be" suggests a positive correlation between a country's land area and its population. This means that as the land area of a country increases, its population tends to increase as well. However, it is important to note that correlation does not imply causation, and there could be other factors at play that influence a country's population size.
To determine whether a country's land area is positively correlated with its population, you need to examine the relationship between these two variables.
One way to do this is by collecting data on land area and population for multiple countries. Once you have this data, you can plot it on a scatter plot, with land area on one axis and population on the other.
If the data points on the scatter plot generally follow an upward trend from left to right, it suggests a positive correlation between land area and population. This means that as the land area of a country increases, its population tends to be higher.
However, it's important to note that correlation does not imply causation. Just because two variables are positively correlated, it doesn't mean that one directly causes the other. In the case of land area and population, other factors such as economic development, immigration patterns, and government policies can also influence population size.
Therefore, it would be more accurate to say that there is a tendency for countries with larger land areas to have higher populations, but this relationship is not absolute and can be influenced by various other factors.