BS8- Fundamental terminologies used in Regression analysis.
Автор: IAPSM eConnect
Загружено: 2024-12-10
Просмотров: 481
Описание:
In this video BS8, chapter 4 of Linear regression sub series, we introduce the fundamental terminologies of regression analysis to help you build a solid understanding of its key concepts. We define the dependent and independent variables, the structure of a regression model, and the significance of the intercept and slope. You'll also learn about important metrics like R-squared, adjusted R-squared and beta coefficients, along with concepts such as collinearity, confounding variables, and effect modifier variables. Whether you're new to regression or looking to refresh your knowledge, this video provides a concise overview of these essential terms.
Presenter: Dr. Kamal Kishore, Assistant Professor, Biostatistics, PGIMER, Chandigarh
EMAIL: [email protected]
Timestamp
00:00 Introduction
01:18 Variables
02:13 Independent & dependent variables
03:31 Modifiable & Non Modifiable IVs
04:17 Confounding variable
05:51 Effect modifier V
08:01 Model
08:53 Intercept & Slope
09:50 R2 & adjusted R2
11:15 beta
12:53 Collinearity
13:03 Outlier
13:27 Influence
Key words: Dependent and Independent Variables, Regression Model, Intercept and Slope, R-Squared and Beta Coefficient, Confounding and Effect Modifier Variables
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