Multiple Linear Regression - Estimated Regression Equation |
y[t] = + 8.2903846153846 -0.702884615384614x[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) | 8.2903846153846 | 0.054911 | 150.9782 | 0 | 0 |
x | -0.702884615384614 | 0.15038 | -4.674 | 1.8e-05 | 9e-06 |
Multiple Linear Regression - Regression Statistics | |
Multiple R | 0.523075617402426 |
R-squared | 0.273608101520929 |
Adjusted R-squared | 0.261084103271290 |
F-TEST (value) | 21.8467055062717 |
F-TEST (DF numerator) | 1 |
F-TEST (DF denominator) | 58 |
p-value | 1.80405013676666e-05 |
Multiple Linear Regression - Residual Statistics | |
Residual Standard Deviation | 0.39596983313545 |
Sum Squared Residuals | 9.09394230769233 |
Multiple Linear Regression - Actuals, Interpolation, and Residuals | |||
Time or Index | Actuals | Interpolation Forecast | Residuals Prediction Error |
1 | 8 | 8.29038461538466 | -0.290384615384662 |
2 | 8.1 | 8.29038461538461 | -0.190384615384615 |
3 | 8.3 | 8.29038461538461 | 0.0096153846153864 |
4 | 8.2 | 8.29038461538461 | -0.090384615384615 |
5 | 8.1 | 8.29038461538461 | -0.190384615384615 |
6 | 7.7 | 8.29038461538461 | -0.590384615384614 |
7 | 7.6 | 8.29038461538461 | -0.690384615384615 |
8 | 7.7 | 8.29038461538461 | -0.590384615384614 |
9 | 8.2 | 8.29038461538461 | -0.090384615384615 |
10 | 8.4 | 8.29038461538461 | 0.109615384615386 |
11 | 8.4 | 8.29038461538461 | 0.109615384615386 |
12 | 8.6 | 8.29038461538461 | 0.309615384615385 |
13 | 8.4 | 8.29038461538461 | 0.109615384615386 |
14 | 8.5 | 8.29038461538461 | 0.209615384615386 |
15 | 8.7 | 8.29038461538461 | 0.409615384615385 |
16 | 8.7 | 8.29038461538461 | 0.409615384615385 |
17 | 8.6 | 8.29038461538461 | 0.309615384615385 |
18 | 7.4 | 8.29038461538461 | -0.890384615384614 |
19 | 7.3 | 8.29038461538461 | -0.990384615384615 |
20 | 7.4 | 8.29038461538461 | -0.890384615384614 |
21 | 9 | 8.29038461538461 | 0.709615384615386 |
22 | 9.2 | 8.29038461538461 | 0.909615384615385 |
23 | 9.2 | 8.29038461538461 | 0.909615384615385 |
24 | 8.5 | 8.29038461538461 | 0.209615384615386 |
25 | 8.3 | 8.29038461538461 | 0.0096153846153864 |
26 | 8.3 | 8.29038461538461 | 0.0096153846153864 |
27 | 8.6 | 8.29038461538461 | 0.309615384615385 |
28 | 8.6 | 8.29038461538461 | 0.309615384615385 |
29 | 8.5 | 8.29038461538461 | 0.209615384615386 |
30 | 8.1 | 8.29038461538461 | -0.190384615384615 |
31 | 8.1 | 8.29038461538461 | -0.190384615384615 |
32 | 8 | 8.29038461538461 | -0.290384615384614 |
33 | 8.6 | 8.29038461538461 | 0.309615384615385 |
34 | 8.7 | 8.29038461538461 | 0.409615384615385 |
35 | 8.7 | 8.29038461538461 | 0.409615384615385 |
36 | 8.6 | 8.29038461538461 | 0.309615384615385 |
37 | 8.4 | 8.29038461538461 | 0.109615384615386 |
38 | 8.4 | 8.29038461538461 | 0.109615384615386 |
39 | 8.7 | 8.29038461538461 | 0.409615384615385 |
40 | 8.7 | 8.29038461538461 | 0.409615384615385 |
41 | 8.5 | 8.29038461538461 | 0.209615384615386 |
42 | 8.3 | 8.29038461538461 | 0.0096153846153864 |
43 | 8.3 | 8.29038461538461 | 0.0096153846153864 |
44 | 8.3 | 8.29038461538461 | 0.0096153846153864 |
45 | 8.1 | 8.29038461538461 | -0.190384615384615 |
46 | 8.2 | 8.29038461538461 | -0.090384615384615 |
47 | 8.1 | 8.29038461538461 | -0.190384615384615 |
48 | 8.1 | 8.29038461538461 | -0.190384615384615 |
49 | 7.9 | 8.29038461538461 | -0.390384615384614 |
50 | 7.7 | 8.29038461538461 | -0.590384615384614 |
51 | 8.1 | 8.29038461538461 | -0.190384615384615 |
52 | 8 | 8.29038461538461 | -0.290384615384614 |
53 | 7.7 | 7.5875 | 0.112500000000000 |
54 | 7.8 | 7.5875 | 0.2125 |
55 | 7.6 | 7.5875 | 0.0124999999999996 |
56 | 7.4 | 7.5875 | -0.187500000000000 |
57 | 7.7 | 7.5875 | 0.112500000000000 |
58 | 7.8 | 7.5875 | 0.2125 |
59 | 7.5 | 7.5875 | -0.0875 |
60 | 7.2 | 7.5875 | -0.3875 |