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{"ops":[{"insert":"Part One: Attempt all of the following questions\n2, Researcher is using data for a sample of 10 observations to estimate the relation\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0between consumption expenditure and income. Preliminary analysis of the sample data produces the following data.\n\u00a0Sum (xy=700),  (sum x square = 1000),  (sum x=100), (sum Y= 200)\n A, Use the above information to compute OLS estimates of the intercept and slope\u00a0\u00a0\u00a0\u00a0coefficients and interpret the result\nB, Calculate the variance of the slope parameter\nC, Compute the value R2 (coefficient of determination) and interpret the result\u00a0\nD, Compute 95% confidence interval for the slope parameter\u00a0\nE, Test the significance of the slope parameter at 5% level of confidence using t-test\n\n3. If the model Yi=( +(1X1i +(2X2i +Ui is to be estimated from a sample of 20 observation using the semi- processed data given in matrix in deviation form.\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\n\n\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0=10, =25 and\u00a0\n\nObtain the OLS estimate of the above parameters.\u00a0\n"}]}

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