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{"ops":[{"insert":"a.\u00a0) Calculate\u00a0the covariance, that is, c\u00f4v (X, Y) and the correlation coefficient (r).\t\t[ 4]\n\t\u00a0Explain wh(ii) at c\u00f4v (X, Y) and r measure. What is the dissimilarity between the two?\t[3]\nb.\u00a0You have decided to investigate the influence of money supply (M2) on inflation (CPI) more systematically, and therefore set up a simple linear regression model.\n(i)\u00a0Specify your model and find your parameter estimates (b"},{"attributes":{"script":"sub"},"insert":"1"},{"insert":"and b"},{"attributes":{"script":"sub"},"insert":"2"},{"insert":") using the Ordinary Least Square method. Write down the equation of the regression line.\t\t[7]\n(ii)\u00a0Calculate the standard error of your estimated slope parameter\t\t\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\t[8]\n(iii)\u00a0Calculate r"},{"attributes":{"script":"super"},"insert":"2 "},{"insert":"and explain in detail what r"},{"attributes":{"script":"super"},"insert":"2"},{"insert":"\u00a0tells you about your model.\t\t[3] \n"},{"attributes":{"bold":true},"insert":"\t\t"},{"insert":"\n\u00a0\n"}]}

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