Government central-planning ministries are a prominent feature of postwar Soviet communism.
So the best answer is B. Easter European cities like Minsk, Kiev, Bucharest, and Warsaw all found themselves within the Soviet Union, or within the Soviet sphere of influence, after the war. Since many of these cities had also suffered widespread destruction during the war, they required rebuilding, which was often undertaken according to the socialist ideals promoted by Soviet communism.
A is wrong because, although many Latin American countries experienced aggressive communist insurgencies or takeovers, the communist presence in Latin America rarely resulted in the <span>centralized re-planning of cities.
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C is wrong because North America had no meaningful communist presence, and certainly no communist-guided central planning of cities. Same goes for Western Europe, which rules out D.
Answer and Explanation:
A. The main external reason for the fall of the Qing Dynasti was the pressure of the great European powers in commercial relations, which caused a complete political disorganization, within a government that already showed many signs of incompetence and corruption. This led to serious management failures, provoking helping the fallen dynasty.
B. Geographical differences may be the main reason why the collapse of the Ottoman empire and the Qing dynasty unfolded differently. In addition, the political and religious organization of the two regions also influences the different way in which these collapses developed.
Native resistances delayed the progress of colonization. An example of this is the Pueblo revolt. As a result of the Pueblo revolt Spanish colonization slowed and the Native Americans were able to hold off the Spanish for a brief period of time,
Based on the computer output, the predicted price for a car with 10,000 miles is $22,347.20.
<h3>What is a least-squares regression?</h3>
A least-squares regression line can be defined as a standard technique in regression analysis and statistics that is typically used to make the vertical distance obtained from the data points running to the regression line to become very minimal or as small as possible.
In statistics, the sum of the residuals for a least-squares regression line is always zero (0) because it determines whether or not a line of regression is a good fit or match for the given data.
Based on the computer output, the predicted price for a car that has covered a distance of 10,000 miles on the odometer is $22,347.20.
Read more on least-squares regression here: brainly.com/question/26059078
Play with the baby, feed it , or maybe change the diaper
