Multiple Linear Regression - Estimated Regression Equation |
y[t] = + 3917.4 + 441.894117647059x[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) | 3917.4 | 104.790345 | 37.3832 | 0 | 0 |
x | 441.894117647059 | 200.120995 | 2.2081 | 0.031068 | 0.015534 |
Multiple Linear Regression - Regression Statistics | |
Multiple R | 0.274147320535918 |
R-squared | 0.0751567533570231 |
Adjusted R-squared | 0.0597426992463068 |
F-TEST (value) | 4.87585892829921 |
F-TEST (DF numerator) | 1 |
F-TEST (DF denominator) | 60 |
p-value | 0.0310677694078217 |
Multiple Linear Regression - Residual Statistics | |
Residual Standard Deviation | 702.955004835679 |
Sum Squared Residuals | 29648744.3294118 |
Multiple Linear Regression - Actuals, Interpolation, and Residuals | |||
Time or Index | Actuals | Interpolation Forecast | Residuals Prediction Error |
1 | 4341 | 3917.4 | 423.599999999999 |
2 | 4136 | 3917.4 | 218.6 |
3 | 4022 | 3917.4 | 104.6 |
4 | 4117 | 3917.4 | 199.6 |
5 | 3985 | 3917.4 | 67.6 |
6 | 3709 | 3917.4 | -208.4 |
7 | 4815 | 3917.4 | 897.6 |
8 | 5082 | 3917.4 | 1164.6 |
9 | 4979 | 3917.4 | 1061.6 |
10 | 4796 | 3917.4 | 878.6 |
11 | 3368 | 3917.4 | -549.4 |
12 | 4860 | 3917.4 | 942.6 |
13 | 5177 | 3917.4 | 1259.6 |
14 | 4693 | 3917.4 | 775.6 |
15 | 5370 | 4359.29411764706 | 1010.70588235294 |
16 | 4559 | 4359.29411764706 | 199.705882352941 |
17 | 4325 | 4359.29411764706 | -34.2941176470588 |
18 | 3841 | 4359.29411764706 | -518.294117647059 |
19 | 4690 | 4359.29411764706 | 330.705882352941 |
20 | 4916 | 4359.29411764706 | 556.705882352941 |
21 | 5174 | 4359.29411764706 | 814.705882352941 |
22 | 4453 | 4359.29411764706 | 93.7058823529412 |
23 | 3373 | 4359.29411764706 | -986.294117647059 |
24 | 4892 | 4359.29411764706 | 532.705882352941 |
25 | 4714 | 4359.29411764706 | 354.705882352941 |
26 | 4696 | 4359.29411764706 | 336.705882352941 |
27 | 4349 | 4359.29411764706 | -10.2941176470588 |
28 | 4169 | 4359.29411764706 | -190.294117647059 |
29 | 3588 | 4359.29411764706 | -771.294117647059 |
30 | 3129 | 4359.29411764706 | -1230.29411764706 |
31 | 3938 | 3917.4 | 20.6000000000001 |
32 | 4154 | 3917.4 | 236.6 |
33 | 4214 | 3917.4 | 296.6 |
34 | 4280 | 3917.4 | 362.6 |
35 | 3179 | 3917.4 | -738.4 |
36 | 4687 | 3917.4 | 769.6 |
37 | 4130 | 3917.4 | 212.6 |
38 | 4489 | 3917.4 | 571.6 |
39 | 4628 | 3917.4 | 710.6 |
40 | 3973 | 3917.4 | 55.6 |
41 | 3401 | 3917.4 | -516.4 |
42 | 3217 | 3917.4 | -700.4 |
43 | 3442 | 3917.4 | -475.4 |
44 | 3833 | 3917.4 | -84.4 |
45 | 5268 | 3917.4 | 1350.6 |
46 | 3577 | 3917.4 | -340.4 |
47 | 2618 | 3917.4 | -1299.4 |
48 | 3870 | 4359.29411764706 | -489.294117647059 |
49 | 3431 | 3917.4 | -486.4 |
50 | 4024 | 3917.4 | 106.6 |
51 | 4151 | 3917.4 | 233.6 |
52 | 3181 | 3917.4 | -736.4 |
53 | 2918 | 3917.4 | -999.4 |
54 | 2640 | 3917.4 | -1277.4 |
55 | 2700 | 3917.4 | -1217.4 |
56 | 3603 | 3917.4 | -314.4 |
57 | 4348 | 3917.4 | 430.6 |
58 | 3322 | 3917.4 | -595.4 |
59 | 2312 | 3917.4 | -1605.4 |
60 | 3472 | 3917.4 | -445.4 |
61 | 3592 | 3917.4 | -325.4 |
62 | 3481 | 3917.4 | -436.4 |