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What is Linear Regression Analysis about?
Introduction 548 Formulation of linear regression model 548 Simple linear regression model 549 Multiple linear regression model 550 Estimation of linear regression models 551 Ordinary least squares (OLS) 552 Geometric interpretation of OLS 553 Standard errors, confidence intervals and hypotheses testing of b 554 Maximum likelihood estimation (MLE) 554 Assumptions of linear regression model 555 Linearity 555 No multicollinearity among independent variables 555 Distribution of disturbance term 555 Homoscedasticity 555 Extensions of linear regression model 556 Generalized linear model 556 Hierarchical linear model 556 Multivariate linear model 557 Conclusion 557 References 557
- Author
- Sijia Huang
- Publisher
- Elsevier Science & Technology Books
- Published
- 2023
- Language
- EN
- ISBN
- 9780128186299
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