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lines 9 1 4 Comparison of scatter diagrams and time series 12 1 5 Fore
of squares 24 2 3 Correlation 26 2 4 Multiple regression 28 2 5 Com
ability 40 3 3 The axiomatic approach to probability 42 3 4 Con
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2SLS analysis assumed average bias calculated chapter confidence interval consider corresponding degrees of freedom distributed lag disturbance term Durbin-Watson statistic Econometrics economic effect endogenous variables estimated equation estimator of a2 event example exogenous expected value explanatory variables F distribution factors given gives hence income least squares regression level of significance likelihood function linear logarithms mean measurement errors multiple regression non-linear normal distribution null hypothesis obtained outcomes parameter plot population positive serial correlation prediction price equation probability density function probability distribution profits properties random variable reduced form equations regression coefficients regression equation regression line reject the null relation residuals result sample space scatter diagram shown in figure simple regression standard deviation standard errors statistical structural equations sum of squares Suppose trend unbiased estimator uncorrelated variance variation wage equation whilst Xi and X2 zero