Analysis of Variance

Sum of Mean

Source DF Squares Square F Value Pr > F

Model 20 3.670499E11 18352493740 1.58 0.0496

Error 1101 1.277317E13 11601428676

Corrected Total 1121 1.314022E13

Root MSE 107710 R-Square 0.0279

Dependent Mean 100585 Adj R-Sq 0.0103

Coeff Var 107.08322

Parameter Estimates

Parameter Standard

Variable Label DF Estimate Error t Value Pr > |t|

Intercept Intercept 1 85167 34579 2.46 0.0139

A A 1 0.00000861 0.00790 0.00 0.9991

B B 1 2.98968 2.46392 1.21 0.2252

C C 1 110.87518 85.72047 1.29 0.1961

D D 1 -347.03355 127.76966 -2.72 0.0067

E E 1 94.43187 99.11811 0.95 0.3409

F F 1 -0.00041549 0.00609 -0.07 0.9456

G G 1 -5.06148 49.23571 -0.10 0.9181

H H 1 16426 13104 1.25 0.2103

I I 1 -45101 22002 -2.05 0.0406

J J 1 -46856 29047 -1.61 0.1070

K K 1 -48402 22305 -2.17 0.0302

L L 1 -30408 21738 -1.40 0.1621

M M 1 -46714 22433 -2.08 0.0375

N N 1 -27593 21538 -1.28 0.2004

O O 1 -31519 23769 -1.33 0.1851

P P 1 -54905 20912 -2.63 0.0088

Q Q 1 -24632 34383 -0.72 0.4739

R R 1 912.08579 377.31024 2.42 0.0158

S S 1 1210.77268 7284.51610 0.17 0.8680

T T 1 -22182 16564 -1.34 0.1808

Given this output, the following are the conclusions I have drawn:

DEPD = 0.00000861 A + 2.98968 B + 110.87518 C + -347.03355 D + 94.43187 E+ -0.00041549 F + -5.06148 G + 16426 H + -45101 I + -46856 J + -48402 K + -30408 L + -46714 M + -27593 N + -31519 O + -54905 P + -24632 Q + 912.08579 R + 1210.77268 S + -22182 T + 85167

(However, since all the Pr > |t| values are greater than 0.001 the coefficients are not very accurate. Also since the Standard error values are pretty high, the coefficients are not very accurate.)

Parameters A to T explain 2.79% (R-square value) of the variation shown in DEPD.

1) Is this correct?

In addition,

2) What is F Value and Pr > F?

3) What is t Value?

4) Is there anything else I can get from the SAS output?

Thank you.