Non-Democratic Regimes Theory, Government and Politic by Paul Brooker Essay

Non-Democratic Regimes Theory, Government and Politic by Paul Brooker - Essay Example The writer has purposefully endeavored to reveal a chronological discussion as regards the theoretical analysis of the evolution and development of the non-democratic form of government, significances, failure, consequences, and contribution in the development of political thought. The effort has also been made to compare democracy with those non-democratic regimes. The presentation of the book is well-organized; language usage is lucid and legible and comfort reading. The whole book has been covered by 10 chapters dealing with every issue of a non-democratic regime. The subject matter of the book is easily accessible. Commendably, for the conveniences and a better understanding of the readers, the author has supplied relevant data, figures, and tables which have made an impressive discussion. Anyone with a perusal can easily understand the contents of the book and identify the core purposes of the author inviting the readers to a thoughtful discussion in order to face the ground-rea lity through earning some practical knowledge. The 20th century has witnessed tremendous shifts in the governance portfolios. A large part of First half of the last century has experienced the advent of totalitarianism embodying fascism, Nazism, and communism in German, Italy, Eastern Europe, Russia, and China. In 1920s-1930s totalitarianism for the first time developed in Nazi German and Fascist Italy. With the growing popularity of communism, the concept was reintroduced in the western political thought in the 1950s in Russia, Eastern Europe and even in China. The dominance and wider acceptance of totalitarianism regime in 1960s-1970s were more than democracy and seemed as if totalitarianism could be the predominant state philosophy in the coming days. The period between the end of Second World War and the opening of 1970 era is marked by the military dictatorship.

Statistics 401 Mod 5 Case - Multiple Regression Analysis Coursework

Statistics 401 Mod 5 Case - Multiple Regression Analysis - Coursework Example In the normal regression analysis, we usually use regression to establish the relationship between a variable and another variable. In such a case, it is establish whether or not the changes in one of the variables affect the other variable. The one which is affected is the dependent variable because it depends on the changes of the other so as to have its changed value. The one which is being depended upon to change is the independent variable because it changes on its own. This is for instance in the case where harvest from a corn field is being tested to establish whether or not it has a relationship with the amount of rainfall in the year. The harvest is the dependent variable while the rainfall amount is the independent variable. In the case of multiple regression analysis, the independent variables are more than one. ... In this analysis where in this case assignment we were looking at housing starts again, this time we added another variable to the equation.   The historical values above give interest rates, lumber prices (dollars per board-foot) and number of starts.  Ã‚  We computed a  multiple regression equation  using these variables, with starts as the DV.   Interest and price are the IVs.  Ã‚   From the computation of the regression analysis, I obtained the results shown above using the excel multiple regression. The regression analysis involved using the Housing stats as the Y variables in the excel regression file, and both the interest rate and the Price per board foot as the X variables. Based on the results of the regression as shown in the excel except above, the regression formula that I computed is of the form Y = a1*X1 + a2*X2 + b Where Y = number of housing starts X1 = interest rates a1 = regression coefficient of interest rates X2 = lumber prices a2 = regression coeffic ient of lumber prices b = constant. The values of a1 and a2 correspond to the values on the Regression coefficients table shown above. The value of a1 is that on the interest rates coefficients which is -1203318. Likewise, the value of a2 is that on the price per board foot coefficient which is -17836.8. The value of the constant b is also found on the coefficients table. It is the value of the sample estimate of the standard deviation of the error In this case it has the value 155138.1. X1 and X2 are of course variables that correspond to the interest rates and the price per board foot respectively. In turn, the formula thus becomes:- Y = -1203318*X1 + -17836.8*X2 + 155138.1 Using this formula, it is now much easy to do