Based on what you read, how do you know Lafayette had a lot of influence on the king of France? He was related to the king of france by marriage. He convinced the king of France to support the American revolution with money.
In what ways did Lafayette help America win the revolutionary war? He convinced the king of France to support the American revolution with money. He even spent $200,000 of his own personal money to supply American troops that he led in the war.
The answer for this question is ll only
Answer:
The Ethiopian Diaspora is one of the largest of all African countries and is concentrated primarily in the United States and United Kingdom. ... Internal migration occurs in the form of rural-urban migration, rural-rural migration, and resettlement policies, which are all substantial in Ethiopia.
Answer:
Liberation Theology
Explanation:
Liberation Theology -
It is situation , which focus on the social problems of the poor and the political liberation for the oppressed peoples , is known as the Liberation Theology .
The main motto is social responsibility and emphasizing evangelism .
Hence , from the information of the question , the example shown is about Liberation Theology , as Rosa and Segei realized the act that poor are neglected and hence start to write letters to the government for the problem .
In statistics, a confounding variable or factor is that which affects both the dependent variable and other independent variables included in the model. In the model in the example, there are 3 explanatory or independent variables: income, tv, internet.
From the options listed, these are the ones that <u>can possibly be the cause behind the variables in the model acting as confounding factors:</u>
- People with lower incomes might not own tvs or computers (the opposite is not likely to generate a pattern).
- People with higher incomes likely will have high-speed internet access, which will lead to spending more time on-line.
- People who spend time at home on the internet never watch tv.
There are several ways in which the explanatory variables in the model can affect each other, apart from the dependent one.
