A. They should not. Ennis told the truth.
Edward J. Ennis, born in 1908 and died in 1990 was an American civil rights lawyer. He was the administrator of the Japanese American internment and so he had access to numerous files. Ennis decided to testify at the trial of Gordon Hirabayashi about the Department of War's withholding of evidence relating to Japanese Americans' loyalty to the United States.
Answer:
Maps, satellite images, and photographs assist geographers with considering spatial connections among individuals and the earth.
Explanation:
Maps, satellite images, and photographs assist geographers with considering spatial connections among individuals and the earth. Absolute location portrays the area of a spot dependent on a fixed point on earth. The most well-known path is to recognize the area utilizing directions, for example, scope and longitude. Lines of longitude and scope befuddle the earth.
The present information and innovation permit a cartographer to make maps that give a definite and precise image of the world. The two guides and globes show Earth and its highlights. A globe is a decent model of the world since it has three measurements. It shows Earth's real shape.
Answer:
Around 2.7 people if we exclude the military personnel, Around 4 million people if we include them
Explanation:
Executive branch has the role to implement the laws and programs created by the government. Since they have to do this nation wide, this branch require a large amount of employees.
For comparison, both judicial and legislative branch only employs around 30,000 employees. Basically Almost all government officials that get in touch with the people are part of the executive branch. Fire fighters, police and social workers are all parts of the executive branch.
Multiple regression is Anthony Perez's main statistical approach for managing revenue at the Orlando Magic.
Multiple Linear Regression: What Is It?
A number of explanatory variables are combined in a statistical process called multiple linear regression (MLR), also referred to as multiple regression. Modeling the linear relationship between the explanatory (independent) factors and response (dependent) variables is the aim of multiple linear regression. Because multiple regression takes into account several explanatory variables, it can be thought of as an extension of ordinary least-squares (OLS) regression.
A single dependent variable and several independent variables can be analyzed using the statistical technique known as multiple regression.
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