Week 14: Regression
Introduction, cause and effect relationships, examples, simple linear regression, estimation of parameters and their interpretation. r and R2.
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Course Material
- week 1: Introduction to Statistics
- Week 2: Presentation of Data
- Week 3: Measures of Central Tendency
- Week 4: Measures of Dispersion
- Week 5: Probability and Probability Distributions.
- Week 6: Probability and Probability Distributions.
- Week 7: Sampling and Sampling Distributions
- Week 8: Statistical Software
- Week 10: Testing of Hypothesis- Single Population
- Week 11: Testing of Hypotheses-Two or more Populations
- Week 12: Testing of Hypothesis-Independence of Attributes
- Week 13: Analysis of Variance and ANOVA Table.
- Week 9: Hypothesis Testing
- Week 14: Regression
- Week 15: Correlation
- Week 16: Overview of all contents
- Chapters 16
- Department Earth Sciences
- Teacher
Ahad Yasin
