Multiple Linear Regression - Estimated Regression Equation

Werklh[t] = + 618.793991160117 -10.1901969858548LisStrat[t] -55.9757379424133`9/11`[t] -3.51547013018365M1[t] -7.80296451303514M2[t] -25.2616139157730M3[t] -24.2519628161533M4[t] -30.9049347069358M5[t] -34.2286169406494M6[t] -42.3856325076963M7[t] -49.5426480747433M8[t] -56.5329969751236M9[t] -55.8566792088372M10[t] -0.847028109217495M11[t] -0.176317766286378t + e[t]

Multiple Linear Regression - Ordinary Least Squares
Variable	Parameter	S.D.	T-STAT H0: parameter = 0	2-tail p-value	1-tail p-value
(Intercept)	618.793991160117	20.834462	29.7005	0	0
LisStrat	-10.1901969858548	12.609701	-0.8081	0.422322	0.211161
`9/11`	-55.9757379424133	8.851151	-6.3241	0	0
M1	-3.51547013018365	12.34479	-0.2848	0.776832	0.388416
M2	-7.80296451303514	12.842065	-0.6076	0.545818	0.272909
M3	-25.2616139157730	12.944365	-1.9516	0.055826	0.027913
M4	-24.2519628161533	12.896758	-1.8805	0.065068	0.032534
M5	-30.9049347069358	12.943757	-2.3876	0.020236	0.010118
M6	-34.2286169406494	12.882318	-2.657	0.010167	0.005083
M7	-42.3856325076963	12.837414	-3.3017	0.001648	0.000824
M8	-49.5426480747433	12.80922	-3.8677	0.00028	0.00014
M9	-56.5329969751236	12.797847	-4.4174	4.4e-05	2.2e-05
M10	-55.8566792088372	12.80334	-4.3627	5.3e-05	2.7e-05
M11	-0.847028109217495	12.825676	-0.066	0.947572	0.473786
t	-0.176317766286378	0.464671	-0.3794	0.705742	0.352871

Multiple Linear Regression - Regression Statistics
Multiple R	0.903750956405106
R-squared	0.816765791203144
Adjusted R-squared	0.772536844252179
F-TEST (value)	18.4667700116997
F-TEST (DF numerator)	14
F-TEST (DF denominator)	58
p-value	2.22044604925031e-16
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	22.1354498812648
Sum Squared Residuals	28418.7322038673