Multiple Linear Regression - Estimated Regression Equation |
import[t] = + 907.1375 -42.0946428571429dummy[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) | 907.1375 | 17.763611 | 51.0672 | 0 | 0 |
dummy | -42.0946428571429 | 26.003263 | -1.6188 | 0.110911 | 0.055456 |
Multiple Linear Regression - Regression Statistics | |
Multiple R | 0.207916482235032 |
R-squared | 0.0432292635849902 |
Adjusted R-squared | 0.0267332164054211 |
F-TEST (value) | 2.62058316846541 |
F-TEST (DF numerator) | 1 |
F-TEST (DF denominator) | 58 |
p-value | 0.110911337858779 |
Multiple Linear Regression - Residual Statistics | |
Residual Standard Deviation | 100.486156498212 |
Sum Squared Residuals | 585653.123571429 |
Multiple Linear Regression - Actuals, Interpolation, and Residuals | |||
Time or Index | Actuals | Interpolation Forecast | Residuals Prediction Error |
1 | 733.6 | 907.1375 | -173.5375 |
2 | 844.9 | 907.1375 | -62.2375 |
3 | 864.3 | 907.1375 | -42.8375 |
4 | 833.5 | 907.1375 | -73.6375 |
5 | 814.9 | 907.1375 | -92.2375 |
6 | 820.4 | 907.1375 | -86.7375 |
7 | 710.8 | 907.1375 | -196.3375 |
8 | 773.1 | 907.1375 | -134.0375 |
9 | 801.2 | 907.1375 | -105.9375 |
10 | 832.9 | 907.1375 | -74.2375 |
11 | 808.3 | 907.1375 | -98.8375 |
12 | 817.2 | 907.1375 | -89.9375 |
13 | 745.5 | 907.1375 | -161.6375 |
14 | 932.6 | 907.1375 | 25.4625000000000 |
15 | 1057 | 907.1375 | 149.8625 |
16 | 879.9 | 907.1375 | -27.2375 |
17 | 1089.5 | 907.1375 | 182.3625 |
18 | 903 | 907.1375 | -4.1375 |
19 | 846.1 | 907.1375 | -61.0375 |
20 | 959.1 | 907.1375 | 51.9625 |
21 | 952 | 907.1375 | 44.8625 |
22 | 1092.5 | 907.1375 | 185.3625 |
23 | 1188.9 | 907.1375 | 281.7625 |
24 | 996.7 | 907.1375 | 89.5625 |
25 | 1034.3 | 907.1375 | 127.1625 |
26 | 898.2 | 907.1375 | -8.93749999999995 |
27 | 1111.6 | 907.1375 | 204.4625 |
28 | 900.5 | 907.1375 | -6.6375 |
29 | 1049.2 | 907.1375 | 142.0625 |
30 | 1010.9 | 907.1375 | 103.7625 |
31 | 875.9 | 907.1375 | -31.2375 |
32 | 849.9 | 907.1375 | -57.2375 |
33 | 713.4 | 865.042857142857 | -151.642857142857 |
34 | 918.6 | 865.042857142857 | 53.5571428571429 |
35 | 912.5 | 865.042857142857 | 47.4571428571429 |
36 | 767 | 865.042857142857 | -98.0428571428571 |
37 | 902.2 | 865.042857142857 | 37.1571428571429 |
38 | 891.9 | 865.042857142857 | 26.8571428571428 |
39 | 874 | 865.042857142857 | 8.95714285714287 |
40 | 930.9 | 865.042857142857 | 65.8571428571428 |
41 | 944.2 | 865.042857142857 | 79.157142857143 |
42 | 935.9 | 865.042857142857 | 70.8571428571428 |
43 | 937.1 | 865.042857142857 | 72.0571428571429 |
44 | 885.1 | 865.042857142857 | 20.0571428571429 |
45 | 892.4 | 865.042857142857 | 27.3571428571428 |
46 | 987.3 | 865.042857142857 | 122.257142857143 |
47 | 946.3 | 865.042857142857 | 81.2571428571428 |
48 | 799.6 | 865.042857142857 | -65.4428571428571 |
49 | 875.4 | 865.042857142857 | 10.3571428571428 |
50 | 846.2 | 865.042857142857 | -18.8428571428571 |
51 | 880.6 | 865.042857142857 | 15.5571428571429 |
52 | 885.7 | 865.042857142857 | 20.6571428571429 |
53 | 868.9 | 865.042857142857 | 3.85714285714285 |
54 | 882.5 | 865.042857142857 | 17.4571428571429 |
55 | 789.6 | 865.042857142857 | -75.4428571428571 |
56 | 773.3 | 865.042857142857 | -91.7428571428572 |
57 | 804.3 | 865.042857142857 | -60.7428571428572 |
58 | 817.8 | 865.042857142857 | -47.2428571428572 |
59 | 836.7 | 865.042857142857 | -28.3428571428571 |
60 | 721.8 | 865.042857142857 | -143.242857142857 |