Multiple Linear Regression - Estimated Regression Equation

import[t] = + 845.465 -41.6750000000000dummy[t] + 29.4050000000001M1[t] + 53.9650000000001M2[t] + 128.705M3[t] + 57.3050000000001M4[t] + 124.545M5[t] + 81.745M6[t] + 3.10500000000011M7[t] + 19.3050000000001M8[t] + 12.2000000000001M9[t] + 109.36M10[t] + 118.08M11[t] + 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)	845.465	46.47339	18.1925	0	0
dummy	-41.6750000000000	25.81855	-1.6141	0.11319	0.056595
M1	29.4050000000001	62.179302	0.4729	0.638469	0.319234
M2	53.9650000000001	62.179302	0.8679	0.389863	0.194931
M3	128.705	62.179302	2.0699	0.043982	0.021991
M4	57.3050000000001	62.179302	0.9216	0.361439	0.18072
M5	124.545	62.179302	2.003	0.050964	0.025482
M6	81.745	62.179302	1.3147	0.195001	0.097501
M7	3.10500000000011	62.179302	0.0499	0.960385	0.480192
M8	19.3050000000001	62.179302	0.3105	0.757574	0.378787
M9	12.2000000000001	61.96452	0.1969	0.844765	0.422383
M10	109.36	61.96452	1.7649	0.084081	0.042041
M11	118.08	61.96452	1.9056	0.062828	0.031414

Multiple Linear Regression - Regression Statistics
Multiple R	0.512795589471654
R-squared	0.262959316581581
Adjusted R-squared	0.0747787165598572
F-TEST (value)	1.39737739464761
F-TEST (DF numerator)	12
F-TEST (DF denominator)	47
p-value	0.200912970700872
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	97.974508082677
Sum Squared Residuals	451153.199

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	Interpolation Forecast	Residuals Prediction Error
1	733.6	874.87	-141.27
2	844.9	899.43	-54.5299999999999
3	864.3	974.17	-109.87
4	833.5	902.77	-69.2700000000001
5	814.9	970.01	-155.11
6	820.4	927.21	-106.810000000000
7	710.8	848.57	-137.770000000000
8	773.1	864.77	-91.67
9	801.2	857.665	-56.4649999999999
10	832.9	954.825	-121.925
11	808.3	963.545	-155.245
12	817.2	845.465	-28.2649999999998
13	745.5	874.87	-129.37
14	932.6	899.43	33.17
15	1057	974.17	82.83
16	879.9	902.77	-22.8700000000000
17	1089.5	970.01	119.490000000000
18	903	927.21	-24.2099999999999
19	846.1	848.57	-2.47000000000002
20	959.1	864.77	94.33
21	952	857.665	94.335
22	1092.5	954.825	137.675
23	1188.9	963.545	225.355
24	996.7	845.465	151.235
25	1034.3	874.87	159.43
26	898.2	899.43	-1.22999999999996
27	1111.6	974.17	137.43
28	900.5	902.77	-2.27000000000001
29	1049.2	970.01	79.19
30	1010.9	927.21	83.69
31	875.9	848.57	27.3299999999999
32	849.9	864.77	-14.8700000000001
33	713.4	815.99	-102.59
34	918.6	913.15	5.45000000000006
35	912.5	921.87	-9.36999999999996
36	767	803.79	-36.7899999999999
37	902.2	833.195	69.005
38	891.9	857.755	34.1450000000000
39	874	932.495	-58.4949999999999
40	930.9	861.095	69.805
41	944.2	928.335	15.8649999999999
42	935.9	885.535	50.365
43	937.1	806.895	130.205
44	885.1	823.095	62.005
45	892.4	815.99	76.41
46	987.3	913.15	74.15
47	946.3	921.87	24.43
48	799.6	803.79	-4.1899999999999
49	875.4	833.195	42.2049999999999
50	846.2	857.755	-11.5550000000000
51	880.6	932.495	-51.8949999999999
52	885.7	861.095	24.605
53	868.9	928.335	-59.4350000000002
54	882.5	885.535	-3.03499999999995
55	789.6	806.895	-17.2950000000001
56	773.3	823.095	-49.7950000000001
57	804.3	815.99	-11.6900000000000
58	817.8	913.15	-95.35
59	836.7	921.87	-85.1699999999999
60	721.8	803.79	-81.99