<span>Used to be that most people worked the land, producing just enough food for themselves, with a little left over for the nobility and merchant classes. Since land is limited the population was limited. With improved farming techniques the farmers started producing much more food, more than they needed to support their families. This allowed more mouths to be fed and led to a population explosion.
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I would say that depends whether the earlier civilizations were present immediately before the borrowing civilization, so the two could have contact, or were separated by a long period of time.
If a civilization borrows from a civilization just was there shortly before, and that they possibly invaded, the borrowing might happen not on purpose, but be a result of a natural mix and inclusion of what it already there. Alternatively, especially when a new power wants to assimilate local population, they might want to include elements from their previous culture to ease the transition for them and make it more acceptable (e.g. the Virgen og Guadalupe in Mexico, although a Cristian Deity, borrows greatly from pre-colombian civilizations.)
If a civilization borrows from an older one, it might be to evoke an association with them, as when Europe borrowed from the Greeks and the Romans, when they wanted to break with the association of the Dark Ages in the Renaissance and instead "go back to their intellectual roots"
Answer:
The dangers of the construction of hydroelectric dams upstream of the Mekong River adversely effect on the ecosystems and livelihoods of people in the Mekong Delta, Viet Nam
Explanation:
The strength of an association between variables is described by correlation, and it is typically captured by the correlation coefficient.
Its value ranges from-1 to +1. These are perfect positive and perfect negative correlations. Variables moving in the same direction are with positive correlation. And opposite moving variables are with negative correlation. All data points of a perfect correlation which ranges from -1 to +1, lie on a straight line.
The correlation coefficient shows the strength and direction between the two variables.
The most common method of calculating correlation is Pearson product correlation. Pearson correlation measures the linear relationship between two variables.
To learn more about correlation coefficient here
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