Regression Analysis: C6 versus C1; C2; C3; C4 (ymaxviol)

The regression equation is
C6 = 0,0175 - 0,00750 C1 - 0,00500 C2 - 0,00250 C3 - 0,00500 C4


Predictor       Coef   SE Coef      T      P
Constant    0,017500  0,005212   3,36  0,001
C1         -0,007500  0,004662  -1,61  0,108
C2         -0,005000  0,004662  -1,07  0,284
C3         -0,002500  0,004662  -0,54  0,592
C4         -0,005000  0,004662  -1,07  0,284

Regression Analysis: C7 versus C1; C2; C3; C4 (prevtard)

The regression equation is
C7 = 13,8 - 4,70 C1 - 0,875 C2 - 2,96 C3 - 0,703 C4


Predictor     Coef  SE Coef      T      P
Constant   13,8212   0,8997  15,36  0,000
C1         -4,7025   0,8047  -5,84  0,000
C2         -0,8750   0,8047  -1,09  0,277
C3         -2,9625   0,8047  -3,68  0,000
C4         -0,7025   0,8047  -0,87  0,383

Regression Analysis: C9 versus C1; C2; C3; C4 (prevearl)

The regression equation is
C9 = 7,80 - 4,89 C1 - 0,630 C2 - 2,07 C3 - 1,49 C4


Predictor     Coef  SE Coef       T      P
Constant    7,7962   0,4292   18,16  0,000
C1         -4,8900   0,3839  -12,74  0,000
C2         -0,6300   0,3839   -1,64  0,101
C3         -2,0650   0,3839   -5,38  0,000
C4         -1,4950   0,3839   -3,89  0,000

Regression Analysis: C10 versus C1; C2; C3; C4 (wait)

The regression equation is
C10 = 2,72 + 6,71 C1 + 0,216 C2 - 0,361 C3 + 0,119 C4


Predictor     Coef  SE Coef      T      P
Constant    2,7156   0,3214   8,45  0,000
C1          6,7137   0,2875  23,35  0,000
C2          0,2163   0,2875   0,75  0,452
C3         -0,3613   0,2875  -1,26  0,209
C4          0,1187   0,2875   0,41  0,680


Regression Analysis: C11 versus C1; C2; C3; C4 (load)

The regression equation is
C11 = 78,3 - 14,3 C1 + 0,05 C2 - 10,7 C3 - 1,77 C4


Predictor     Coef  SE Coef       T      P
Constant    78,337    1,480   52,91  0,000
C1         -14,302    1,324  -10,80  0,000
C2           0,049    1,324    0,04  0,971
C3         -10,705    1,324   -8,08  0,000
C4          -1,767    1,324   -1,33  0,182