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Assumptions of linear regression are:(1) The relationship of the dependent variable (y) and the independent variables (x) is linear. For instance, the plot below is not regressible because it is not linear.In addition, the coefficients of x must be linear and unrelated. You cannot have the coefficients be functions of each other.(2) In non-financial applications, the independent variable (x) must also be non-random. However, in financial applications it has been shown that regression on a random independent variable can be “reliable” so long as the error variable (e) and the independent variable are uncorrelated [see Greene (2011) or Goldberger (1998)].(3) The error term is distributed equally around 0, so the expected value of the error term is E( e ) = 0.(4) The variance of the error term is constant. This is called the homoskedacity constraint. For instance, in the plot below, the variance of the errors grows as a function of x—meaning the function is heteroskedastic.(5) The error term must be uncorrelated across observation points. That is, it is random. In the plot below, the error term is correlated from one observation to the next—that is, the next point is weighted by the last one.Interestingly, this creates what is known as a random walk, but that is for a different question!(6) The error term is normally distributed. In the plot below, the error term is uniformly distributed. You can tell that because the dots are evenly scattered, rather than showing a central tendency.This is what data looks like when it is fully regressible:—Edit: thanks to Kelly Kochanski for catching my original flub to this answer.

NoSQL databases are in a completely different market than Oracle.Oracle is an enterprise relational database. It’s used heavily by business and financial applications, including some which are owned by Oracle itself. Oracle Corp. clearly has no incentive to replace its Oracle database in its own business products.Besides that, the NoSQL is still a niche technology and a niche market. The NoSQL market is predicted to grow possibly to $4.2 billion by 2020. Whereas Oracle database alone recently reported $4.79 billion in one quarter. Let’s call this at least a 5:1 ratio between Oracle database versus the entire NoSQL market.MongoDB is the most popular NoSQL database. Oracle database revenue is at least 200 times larger than MongoDB’s revenue. Granted, that’s a bit apples to oranges, because MongoDB is open-source, and may have a lot more users than the revenue indicates. But 200x!! Come on.See also my answers to these related questions:Bill Karwin's answer to Will Mongo DB gain Oracle's market share in next 3 years?Bill Karwin's answer to Is SQL still so lucrative that you could build an enterprise from it, similar to how Larry Ellison did with Oracle? Does Google really use his software in the context he uses in his interviews?

Countries are not people. They cannot be good or bad except for some extreme cases where a evil ideology is part of the state.A country can be poor or rich , prosperous or not , growing financially or declining . Can be populous or not.But good or bad ?! it is not applicable.