Multiple Linear Regression - Estimated Regression Equation

Y[t] = + 102.5 + 0.75000000000001X[t] -0.0625000000000058M1[t] -0.275000000000011M2[t] -1.28750000000001M3[t] -0.700000000000012M4[t] -2.11250000000001M5[t] -1.52500000000001M6[t] -2.53750000000001M7[t] -1.15000000000001M8[t] -1.36250000000001M9[t] -2.17500000000001M10[t] -0.187500000000007M11[t] -0.187500000000000t + 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)	102.5	5.444203	18.8274	0	0
X	0.75000000000001	5.238687	0.1432	0.886785	0.443392
M1	-0.0625000000000058	6.502798	-0.0096	0.992373	0.496187
M2	-0.275000000000011	6.465765	-0.0425	0.966259	0.483129
M3	-1.28750000000001	6.432075	-0.2002	0.842231	0.421115
M4	-0.700000000000012	6.401781	-0.1093	0.913405	0.456702
M5	-2.11250000000001	6.374932	-0.3314	0.741865	0.370933
M6	-1.52500000000001	6.35157	-0.2401	0.811321	0.40566
M7	-2.53750000000001	6.331736	-0.4008	0.690453	0.345226
M8	-1.15000000000001	6.315461	-0.1821	0.85631	0.428155
M9	-1.36250000000001	6.302774	-0.2162	0.829807	0.414904
M10	-2.17500000000001	6.293696	-0.3456	0.731231	0.365615
M11	-0.187500000000007	6.288243	-0.0298	0.976342	0.488171
t	-0.187500000000000	0.151228	-1.2399	0.221318	0.110659

Multiple Linear Regression - Regression Statistics
Multiple R	0.333175720431569
R-squared	0.111006060685095
Adjusted R-squared	-0.140231356947378
F-TEST (value)	0.441837293708704
F-TEST (DF numerator)	13
F-TEST (DF denominator)	46
p-value	0.944772506132533
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	9.93970955747483
Sum Squared Residuals	4544.7

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	Interpolation Forecast	Residuals Prediction Error
1	99	102.25	-3.24999999999999
2	92	101.85	-9.84999999999999
3	91	100.65	-9.65
4	92	101.05	-9.05000000000001
5	93	99.45	-6.45
6	95	99.85	-4.85
7	98	98.65	-0.650000000000006
8	98	99.85	-1.85000000000000
9	97	99.45	-2.45
10	95	98.45	-3.45000000000000
11	93	100.25	-7.25
12	102	100.25	1.75000000000000
13	102	100	2.00000000000000
14	113	99.6	13.4
15	112	98.4	13.6
16	114	98.8	15.2
17	104	97.2	6.8
18	98	97.6	0.400000000000003
19	88	96.4	-8.4
20	93	97.6	-4.6
21	96	97.2	-1.20000000000000
22	101	96.2	4.8
23	107	98	9
24	104	98	6
25	96	98.5	-2.50000000000001
26	86	98.1	-12.1
27	83	96.9	-13.9
28	90	97.3	-7.3
29	95	95.7	-0.700000000000001
30	102	96.1	5.9
31	95	94.9	0.0999999999999981
32	98	96.1	1.90000000000000
33	95	95.7	-0.700000000000003
34	92	94.7	-2.7
35	94	96.5	-2.5
36	96	96.5	-0.50000000000001
37	109	96.25	12.75
38	117	95.85	21.15
39	118	94.65	23.35
40	107	95.05	11.95
41	104	93.45	10.55
42	101	93.85	7.15
43	110	92.65	17.35
44	101	93.85	7.15
45	101	93.45	7.55
46	98	92.45	5.55
47	99	94.25	4.75
48	92	94.25	-2.25000000000001
49	85	94	-9
50	81	93.6	-12.6
51	79	92.4	-13.4
52	82	92.8	-10.8
53	81	91.2	-10.2
54	83	91.6	-8.6
55	82	90.4	-8.4
56	89	91.6	-2.6
57	88	91.2	-3.20000000000000
58	86	90.2	-4.2
59	88	92	-4
60	87	92	-5