Regresi Linear Sederhana Pertemuan 01
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Regresi Linear Sederhana Pertemuan 01

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Bina Nusantara. Regresi Linier Sederhana. Simple Linear Regression. Bina Nusantara. Materi. Types of Regression ModelsDetermining the Simple Linear Regression EquationMeasures of VariationAssumptions of Regression and CorrelationResidual Analysis Measuring AutocorrelationInferences about the S
Regresi Linear Sederhana Pertemuan 01

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1. Regresi Linear Sederhana Pertemuan 01

2. Bina Nusantara Regresi Linier Sederhana Simple Linear Regression

3. Bina Nusantara Materi Types of Regression Models Determining the Simple Linear Regression Equation Measures of Variation Assumptions of Regression and Correlation Residual Analysis Measuring Autocorrelation Inferences about the Slope

4. Bina Nusantara Chapter Topics Correlation - Measuring the Strength of the Association Estimation of Mean Values and Prediction of Individual Values Pitfalls in Regression and Ethical Issues

5. Bina Nusantara Purpose of Regression Analysis Regression Analysis is Used Primarily to Model Causality and Provide Prediction Predict the values of a dependent (response) variable based on values of at least one independent (explanatory) variable Explain the effect of the independent variables on the dependent variable

6. Bina Nusantara Types of Regression Models

7. Bina Nusantara Simple Linear Regression Model Relationship between Variables is Described by a Linear Function The Change of One Variable Causes the Other Variable to Change A Dependency of One Variable on the Other

8. Bina Nusantara Simple Linear Regression Model

9. Bina Nusantara Simple Linear Regression Model

10. Bina Nusantara Linear Regression Equation

11. Bina Nusantara Linear Regression Equation and are obtained by finding the values of and that minimize the sum of the squared residuals provides an estimate of provides an estimate of

12. Bina Nusantara Linear Regression Equation

13. Bina Nusantara Interpretation of the Slope and Intercept is the average value of Y when the value of X is zero measures the change in the average value of Y as a result of a one-unit change in X

14. Bina Nusantara Interpretation of the Slope and Intercept is the estimated average value of Y when the value of X is zero is the estimated change in the average value of Y as a result of a one-unit change in X

15. Bina Nusantara Simple Linear Regression: Example

16. Bina Nusantara Scatter Diagram: Example

17. Bina Nusantara Simple Linear Regression Equation: Example

18. Bina Nusantara Graph of the Simple Linear Regression Equation: Example

19. Bina Nusantara Interpretation of Results: Example

20. Bina Nusantara Chapter Summary Introduced Types of Regression Models Discussed Determining the Simple Linear Regression Equation Described Measures of Variation Addressed Assumptions of Regression and Correlation Discussed Residual Analysis Addressed Measuring Autocorrelation

21. Bina Nusantara Chapter Summary Described Inference about the Slope Discussed Correlation - Measuring the Strength of the Association Addressed Estimation of Mean Values and Prediction of Individual Values Discussed Pitfalls in Regression and Ethical Issues


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