Applied Regression Analysis

6 h
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  • 6 Sequences
  • Introductive Level

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Course details


Week One
  • Review of basic statistical concepts
  • Regression and correlation
Week Two
  • Linear regression
  • Assumptions for linear regression
  • Hypothesis test and confidence intervals for model parameters
Week Three
  • The correlation coefficient
  • The ANOVA table for straight line regression
Week Four
  • Polynomial regression
Week Five
  • Multiple regression
  • The partial F-test
Week Six
  • Dummy (or indicator) variables
  • Statistical interaction
  • Comparing two straight line regression equations




  • Stanley Lemeshow - College of Public Health


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