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    1. Labs
    2. VTU THEORY
    3. VTU Sem 6
    4. Big Data Analytics (Not for CSE/ISE students) syllabus
    5. Module-5 Regression Analysis
    6. Regression Analysis:
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    Prediction.
    Autocorrelated Residuals
    Nonnormality of Residuals
    Nonconstant Error Variance
    Violations of Regression Assumptions
    Outliers
    Stepwise Regression
    Include/Exclude Decisions
    Multicollinearity
    A Test for the Overall Fit: The ANOVA Table
    Hypothesis Tests for the Regression Coefficients and p- Values
    Sampling Distribution of the Regression Coefficients
    Inferences About the Regression Coefficients
    The Statistical Model
    Statistical Inference:Introduction
    Regression Analysis:
    Validation of the Fit.
    Nonlinear Transformations
    Interaction Variables
    Dummy Variables
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