Applied regression : an introduction /: an introduction. (2015)

• Record Type: Book
• Further Information: Note: Michael S. Lewis-Beck.
• Authors: Lewis-Beck, Colin; Lewis-Beck, Michael S
• Contents: 1. Bivariate Regression: Fitting a Straight Line; Exact Versus Inexact Relationships; The Least Squares Principle; The Data; The Scatterplot; The Slope; The Intercept; Prediction; Assessing Explanatory Power: The R 2; R 2 Versus r; 2. Bivariate Regression: Assumptions and Inferences; The Regression Assumptions; Confidence Intervals and Significance Tests; The One-Sided Test; Significance Testing: The Rule of Thumb; Reasons Why a Parameter Estimate May Not Be Significant; The Prediction Error for y; Analysis of Residuals; The Effect of School Size on Educational Performance: A Bivariate Regression Example; 3. Multiple Regression: The Basics; The General Equation; Interpreting Intervals and Significance Tests; The R 2; Predicting y; Dummy Variables; The Possibility of Interaction Effects; The Four-Variable Model: Overcoming Specification Error; 4. Multiple Regression: Special Topics; The Multicollinearity Problem; High Multicollinearity: An Example; The Relative Importance of the Independent Variables; Flexing the Regression Model: Nonlinearity; Determinants of Presidential Popularity: A Multiple Regression Example; Presentation of Regression Results in a Research Paper; What Next?
• Edition: Second edition
• Publisher Details: Los Angeles : SAGE
• Publication Date: 2015
• Extent: 1 online resource
• Subjects: 519.536024301; Regression analysis
• Languages: English
• ISBNs: 9781483381466
• Related ISBNs: 9781483381473
• Notes: Note: Description based on CIP data; item not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
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