This course covers the learning outcomes and goals of understanding multiple regression and correlation. Students will learn how to calculate and interpret partial correlation coefficients, variance, and multiple correlation coefficients. The course teaches the skills of deriving formulas for partial correlation coefficients and multiple regression equations. The teaching method involves lectures and proofs of the formulas. This course is intended for individuals interested in advancing their knowledge of statistics and data analysis.
Overview
Syllabus
Proof of Partial Correlation Coefficient Formula.
(Lecture - 2) Variance (x1.2)=(S1)^2 (1-(r12)^2) when two variable x1 and x2 are involved.
variance(x1.23)=(S1.23)^2 =(S1)^2 ∆/∆11 (variance of residual when 3 variable involved).
Proof of Multiple Correlation Coefficient formula.
Multiple regression equation deviation form is = to mulitiple reg in term of S.D and corr.coeff..
Taught by
Statistics is Fun A.H
