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lukranit [14]
3 years ago
5

Why do mapmaker have to choose between showing the correct land shapes or distances on earth

Social Studies
1 answer:
LUCKY_DIMON [66]3 years ago
6 0
Reports from pioneers who had cruised the seas, geographers understood the Earth was not flat.then another model of the Earth must be found. after a globe, a circular scale model of the planet was invented.the globe of the Earth best demonstrates the sizes of landmasses and mapmakers need to pick between demonstrating the right land shape or separations on earth.
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Answer:

Arkansas used in Arkansas Wildlife Action Plan, forests ensure that all natural resources are sustained in a manner to provide, maintain and enhance the economic benefits and values of trees and forests, Arkansas is an important wood producer, contributing 3.5 percent of the total

Explanation:

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Which U.S region has the smallest states by land area?
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Rhode Island, Delaware, Conneticut, New Jersey, Maryland, New Hampshire, Vermont, and Massachusetts.
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Which geographical feature formed the western boundary of the Plains Native American cultural region?
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A social scientist is interested in studying if happiness (very happy, somewhat happy, a little happy, or not happy) is associat
Alisiya [41]

The answer is sibling status. The more naturally explanatory variable is the sibling status.

 

 

EXPLANATION

An explanatory variable is basically a part of the independent variable. The explanatory variable is a kind of independent variable. The term is similar to one another because the explanatory variable is a part of the independent variable. The term independent means that that variable is not affected by any other variables, while the explanatory variable means that a variable can’t be decided for certain if it’s independent or not.

 

The line between the explanatory variable and the independent variable is not really that important. Except if you do advance research that has a lot of variables, then it may be important because the variables are interacting with each other. The differences between the explanatory variable and the independent variables are important in clinical research. But in most cases, specifically in statistics, the independent variable and explanatory variable are basically the same.

 

Here is an example to understand the independent variable and explanatory variable. Let’s say there are two variables that can explain the cause of weight gain, which are soda and fast food. Most people might think that soda and fast food are both independent of each other, but actually, they are not really independent of each other.  

It has been associated that if you eat fast food, then you must drink soda as a compliment. If you buy soda, then there will be a lot of fast food options around you, like the burger, hot dogs, or even nachos. Even though soda and fast food are not independent of each other, they still explain the effect of weight gain. Therefore, fast food and soda are explanatory variables because they can explain the weight gain.

LEARN MORE

If you’re interested in learning more about this topic, we recommend you to also take a look at the following questions:

Statistical studies: brainly.com/question/9004850

The nature of relationship between variables: brainly.com/question/6887561

KEYWORD: explanatory variable, research, independent variable

Subject: Social Studies

Class: College

Subchapter: Explanatory variable

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If some one gets shot with cupids arrow they get love sick or fall in love. 
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