Multiple Regression: A PrimerPine Forge Press, 1999 - 202 lappuses Multiple regression is at the heart of social science data analysis, because it deals with explanations and correlations. This book is a complete introduction to this statistical method. This textbook is designed for the first social statistics course a student takes and, unlike other titles aimed at a higher level, has been specifically written with the undergraduate student in mind. |
Saturs
What Is Multiple Regression? | 1 |
Chapter Highlights | 22 |
Chapter Highlights | 45 |
Too Highly Correlated? | 62 |
Questions to Think About | 68 |
How Does Bivariate Regression Work? | 97 |
Chapter Highlights | 114 |
What Are the Assumptions | 119 |
What Can Be Done | 137 |
How Can Multiple Regression Handle | 153 |
How Is Multiple Regression Related | 175 |
Answers to Questions | 189 |
| 195 | |
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assumptions average bivariate regression calculate causal Chapter coeffi column confidence intervals data set deleted demoralization dependent devaluation-discrimination dummy variables effect estimate example extreme multicollinearity Figure gender heteroscedasticity homoscedasticity hypothesis increase independent variables intercept interpret least squares regression linear equation linear model linear regression logarithm logit male marital status married measurement error method missing data multicollinearity multiple regression nonlinear number of children observed omitted variables ordinary least squares pendent variables possible predicted values prediction errors probability sample problem produce quadratic random regres regression analysis regression coefficients regression equation regression model Regression of Income regression programs relationship residuals SAT scores SAT training scale schooling self-rated health slope SPSS squares regression line standard deviation standard error standardized coefficients statistical package statistically significant studentized residuals sum of squared Suppose Table tell there's tion tolerance transformation unstandardized urban x₁ zero
Atsauces uz šo grāmatu
Applying Regression and Correlation: A Guide for Students and Researchers Jeremy Miles,Mark Shevlin Ierobežota priekšskatīšana - 2001 |
Analyzing Quantitative Data: From Description to Explanation Norman Blaikie Ierobežota priekšskatīšana - 2003 |