Week 1:Simple linear regression and pearson's correlation
The statistical techniques presented in this chapter are used to measure the strength and direction of the association between variables measured at the interval-ratio level.
By the end of this chapter, you will be able to:
1. Interpret a scattergram.
2. Calculate and interpret slope (b), Y-intercept (a), and Pearson’s r and r2.
3. Find and explain the least-squares regression line and then use it to predict the values of Y.
4. Explain the concepts of the total, explained, and unexplained variance.
5. Use regression and correlation techniques to analyze and describe a bivariate relationship.
Course Material
- Week 1:Simple linear regression and pearson's correlation
- Week 2:Multiple regression
- Week 3:Multiple correlation and Partial correlation
- Week 4:Rank order correlation
- Week 5:Estimation/Point estimation
- Week 6:Interval estimation
- Week 7:Testing of hypothesis
- Week 8:Single sample test involving mean (z-test & t-test)
- Week 9:Single sample test involving proportion(z-test)
- Week 10:Two sample test difference of mean(z and t test)
- Week 11:Two sample test difference of proportion (z test)
- Week 12:One way anova
- Week 13:two way anova
- Week 14:chi square test
- Week 15:the sign test, the median test
- Week 16:the man whitney test/life table
- Chapters 16
- Department Sociology and Criminology
- Teacher
Hijab Zahra
