The answer is actually quite simple. After WWI, many countries that suffered loss and consequences afterwards were eager for revenge (Especially Germany). All that was needed was some random guy that can create good speeches and had both financial and military power (Such as Hitler) to show and the people easily accepted him. This happened to the majority of countries that were affected by the treaty of Versailles. (It's pronounced Ver-s-i)
<span>the Magellan strait hope this helps
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The Legislative branch embodies two important constitutional principles namely separation of powers and checks and balance. The Legislative branch which includes the House of Representatives and the Senate embodies the principle of separation of powers because it has certain powers that the Executive and Judiciary branches do not have. Example of such is that both the House of Representatives and the Senate have the power to create and pass laws. Another thing is the Senate has the power to approve treatise. In so doing, it is in the separation of powers that the principle of check and balance applies because if all the powers have been vested in one branch like the executive branch then the President and the Vice-President will have the tendency to control everyone and do things according to their whims. For one thing the House of Representatives and the Senate have the power to impeach government officials who is proven guilty of going against the law.
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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