Basic EconometricsGujarati's Basic Econometrics provides an elementary but comprehensive introduction to econometrics without resorting to matrix algebra, calculus, or statistics beyond the elementary level. Because of the way the book is organized, it may be used at a variety of levels of rigor. For example, if matrix algebra is used, theoretical exercises may be omitted. A CD of data sets is provided with the text. 
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LibraryThing Review
User Review  Scribble.Orca  LibraryThingI HATE this subject and anything quantitative. But if you, like me, are a complete klutz at regression analysis and can't tell a ttest from a tshirt, this book will get you through the theory part of your exam. It saved my grade when I failed my practical. Read full review
Contents
Introduction  1 
SingleEquation Regression Models  11 
Rates of inflation in five industrial countries 19601980  24 
Copyright  
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adaptive expectations assume assumption autocorrelation average bias Chap classical linear regression collinearity computed confidence interval constant consumption expenditure correlation coefficient covariance demand function dependent variable deviation discussed disturbance term dummy variables DurbinWatson Econometrics economic elasticity equation error term Exercise expected explanatory variables F distribution F test F value FIGURE following model heteroscedasticity homoscedastic illustrative example income increases intercept term lagged leastsquares level of significance linear regression linear regression model matrix mean value measure method multicollinearity multiple regression normally distributed Note null hypothesis observations obtain OLS estimators output parameters population preceding probability problem procedure production R2 value random ratio reducedform regression analysis regression coefficients regression line regression model relationship residuals sample serial correlation shows slope coefficient specification error standard errors statistically significant Suppose tion transformed true twovariable unbiased estimator variance X2 and X3 zero