ProbStat Lectures

Probability and Statistics Lecture 6

This is the lecture in Correlation and Regression as one topic in Probability and Statistics subject in taking up Engineering Courses.

Probability and Statistics Lecture 6

Lesson Objectives - the students should be able to:

  • Define Correlation
  • Differentiate types of Correlation
  • Calculate Correlation Coefficient
  • Define Residuals
  • Define Regression line
  • Find the equation of the Regression line
  • Could predict the outcome using the equation of Regression line

LESSON OUTLINE:

  • Correlation
  • Types of Correlation
  • Correlation Coefficient
  • Measures of Correlation
  • Calculating Correlation Coefficient
  • Pearson product-moment correlation coefficient
  • Spearman Rank-Order Correlation Coefficient (Spearman Rho)
  • Goodman’s and Kruskal’s Gamma (G)
  • Correlation between Nominal Data
  • Linear Regression
  • Residuals
  • Regression Line
  • EXERCISES
  • HOMEWORK

Probability and Statistics Lecture 6


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