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Elementary Regression Theory and Social Science Practice
Statistical Properties of Regression Estimates
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additional answer assumptions average bias causal strength coefficient estimates compute confidence intervals consistent estimator correlation cube law data analysis data set Democratic dependent discussion disturbances dummy variables effect factors favored forecast functional form Gauss-Markov Theorem Hampshire hypothesis impact independent variables influence interpretation investigators jackknife large samples least squares less linear Manchester Union Leader Manchester vote mean meaningful measure Merrill Shanks minimize Cp multicollinearity newspaper newspaper's normality null null hypothesis number of observations percentage points percentage seats plausible point cloud political postulates Predicted Vote Difference primary elections Professor Achen question reasonable regres regression analysis regression coefficients regression equation regression model relationship result sampling errors scale scores sense set of observations significance testing simply sion slope social science applications social science practice social scientists social theory standard error standardized beta statistical methods statistically significant story per day theoretical tion true unbiased Union Leader example unmeasured Veblen's