For least squares regression plane z=a+bx+cy ƒ¿(unbiased for a)= ƒÀ(unbiased for b)= ƒÁ(unbiased for c)= Sum of residual squares of z= Residual variance of z= s2(unbiased for ƒÐ2)= s= Sample variance of ƒ¿(unbiased for V(ƒ¿))= Sample variance of ƒÀ(unbiased for V(ƒÀ))= Sample variance of ƒÁ(unbiased for V(ƒÁ))= Sample standard deviation of ƒ¿= Sample standard deviation of ƒÀ= Sample standard deviation of ƒÁ= Sample covariance of ƒ¿ and ƒÀ (unbiased for Cov(ƒ¿,ƒÀ)) = Sample covariance of ƒÀ and ƒÁ (unbiased for Cov(ƒÀ,ƒÁ)) = Sample covariance of ƒÁ and ƒ¿ (unbiased for Cov(ƒÁ,ƒ¿)) = Sample correlation coefficient of ƒ¿ and ƒÀ = Sample correlation coefficient of ƒÀ and ƒÁ = Sample correlation coefficient of ƒÁ and ƒ¿ = Coefficient of determination of z by x and y = Multiple correlation coefficient of z and x,y = For a time series(input order of timejDurbin-Watson's statistic @ DW= | Least squares regression plane z=a+bx+cy ......Variable.....Variable.....Variable .......x.....................y.....................z..................Sample . 1 . 2 . 3 . 4 . 5 . 6 . 7 . 8 . 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 | Least squares regression plane z=a+bx+cy ......Variable.....Variable.....Variable .......x.....................y.....................z..................Sample 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 |