Week 9: Regression Analysis: Simple regression
Course Material
- Week 1: Importance of Statistics in agriculture research and selection of tools based on scale of measurements
- Week 2: Analysis of Count and Frequency data
- Week 3: Measures of central tendency and dispersion
- Week 4: concepts of hypothesis testing. T, Z tests
- Week 5: Contingency Tables, Chi-square and F tests.
- Week 6: Diversity Indices
- Week 7: Concept of ANOVA and its types
- Week 8: 8. Correlation Analysis: Simple correlation, multiple correlation, and Partial correlation
- Week 9: Regression Analysis: Simple regression
- Week 10: Multiple regression and interpretation of results
- Week 11: Generalized linear models: logistic regression
- Week 12: Poisson regression, Gamma regression
- Week 13: Inverse Gaussian regression
- Week 14: Non-linear regression
- Week 15: Dose Response Curves
- Week 16: CRD, RCBD and LSD
- Chapters 16
- Department Institute of Food Science & Nutrition
- Teacher
Ms. Noureen Akhtar
