Effect defined amount of: a variable on another variable effect generated
In the variance analysis, the effect size is d value
In the regression analysis, regression coefficient is the amount of effect, or R ^ values,
For an intermediary role:
X------->M------>Y
X--------->Y
M = a1 + a2x + e
Y = a3 + a4X A5M + e +
Then the effect of the amount of a2 * a5 + a4
How to prove that the square of the correlation coefficient R ^ 2's?
(Unfinished)