The data from the map showed that Green revolution and farm mechanization helped to improve rice production in Southeat Asia and less developed countries of the world.
<h3>What is scale of analysis?</h3>
Scale of analysis of a map refers to the different units of measurement used to describe different aspects of the world.
The scale of analysis used in the two maps is economic scale of analysis.
Based on the data from the map;
- Southeast Asia are shaded in a single color in the world map but differently in the regional map since it represents the overall regional production of rice.
- The rice production data for Southeast Asia and West Africa is 0.5 ton 1.0 ton per acre indicating intensive land use for rice production.
- The use of machines in farming helped to increase food production making the Green revolution possible.
- The Green revolution resulted in increase food production in less developed countries.
- Mechanization improved rice production in less developed countries.
- The use of agricultural chemicals such as fertilizer and pesticides helped to improve rice production worldwide.
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Gross income is the total income, from all sources, before taxes.
So it's not relevant what your tax rate is, if you earn 50 000 a year, then this is your gross income.
The college course component in which you practice with specialized equipment is called a lab.
A laboratory is a facility that provides controlled conditions in which scientific or technical research, experiments, and measurements can be conducted. Testing services are provided in a variety of settings, including clinics, clinics, hospitals, and regional and national referral centers.
Lab is an abbreviation for Labor, from the Latin Laborare, from the medieval Latin root labatorium, "a place for work or labour." Many scientists and researchers commute to the lab every day (often wearing a "white coat," a white coat that protects their clothing).
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Answer:
A correlation is only a mathematical means of describing the relationship between variables. When it is a positive correlation, it means when the value of one increases, for example, the value of the other variable also increases or when one decreases, so does the other. A negative correlation would show that as one variable increases in value, the other decreases. These relationships are non-causal as you're not manipulating variables to control them to see what is causing this relationship. Sometimes, non-causal covariance (or variables that don't have an effect on each other vary cooincidentally in a pattern-like fashion, when there is actually another variable causing the relationship going on.
Explanation:
In the case of this example, it is doubtful that having money causes you to have a higher grade point average. So while we see an increase in grade point average with those who have high income it could be due to other factors, like people with more money have access to learning tools, tutors and other things that people with less money don't have access to. So it is access to tools, not money that is actually causing a difference. There are likely dozens if not hundreds of other potential confounded variables that could be causing this observation.
according to the constitution, presidential disability can be determined by the<span>vice president and the cabinet</span>
