1.14 Properties of Covariance (Cov\((X,Y)\))
- 1.
- Cov\((X,Y)=\) Cov\((Y,X)\)
- 2.
- Cov\((X,Y)=E(X,Y)-E(X)E(Y)\)
- 3.
- Cov\((X,X)=\) var\((X)\)
- 4.
- var\((X+Y)=\) var\((X)\) + var\((Y)\) + 2Cov\((X,Y)\)
- 5.
- If \(c\) is a constant then,
- (a)
- Cov\((Xc)=0\)
- (b)
- Cov\((X+c,Y)=\) Cov\((X,Y)\)
- (c)
- Cov\((cX,Y)=\) \(c\)Cov\((X,Y)\)
- 6.
- Cov\((X+Z,Y)=\) Cov\((X+Y)\) + Cov\((Z+Y)\)
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