Multiple Linear Regression - Estimated Regression Equation |
y[t] = + 86.5179487179487 + 9.44395604395605x[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) | 86.5179487179487 | 2.045439 | 42.298 | 0 | 0 |
x | 9.44395604395605 | 3.457424 | 2.7315 | 0.008339 | 0.00417 |
Multiple Linear Regression - Regression Statistics | |
Multiple R | 0.337605647932651 |
R-squared | 0.113977573516025 |
Adjusted R-squared | 0.0987013247835427 |
F-TEST (value) | 7.46109699521133 |
F-TEST (DF numerator) | 1 |
F-TEST (DF denominator) | 58 |
p-value | 0.00833929729316496 |
Multiple Linear Regression - Residual Statistics | |
Residual Standard Deviation | 12.7737655181309 |
Sum Squared Residuals | 9463.80695970696 |
Multiple Linear Regression - Actuals, Interpolation, and Residuals | |||
Time or Index | Actuals | Interpolation Forecast | Residuals Prediction Error |
1 | 77.8 | 86.5179487179489 | -8.71794871794886 |
2 | 81.3 | 86.5179487179487 | -5.21794871794872 |
3 | 87.7 | 86.5179487179487 | 1.18205128205129 |
4 | 78.4 | 86.5179487179487 | -8.11794871794871 |
5 | 76.2 | 86.5179487179487 | -10.3179487179487 |
6 | 85.3 | 86.5179487179487 | -1.21794871794872 |
7 | 69.3 | 86.5179487179487 | -17.2179487179487 |
8 | 66.8 | 86.5179487179487 | -19.7179487179487 |
9 | 77.1 | 86.5179487179487 | -9.41794871794872 |
10 | 79.4 | 86.5179487179487 | -7.11794871794871 |
11 | 68.6 | 86.5179487179487 | -17.9179487179487 |
12 | 70.6 | 86.5179487179487 | -15.9179487179487 |
13 | 75.6 | 86.5179487179487 | -10.9179487179487 |
14 | 71.5 | 86.5179487179487 | -15.0179487179487 |
15 | 92.2 | 86.5179487179487 | 5.68205128205129 |
16 | 76.4 | 86.5179487179487 | -10.1179487179487 |
17 | 75 | 86.5179487179487 | -11.5179487179487 |
18 | 86.4 | 86.5179487179487 | -0.117948717948708 |
19 | 66.9 | 86.5179487179487 | -19.6179487179487 |
20 | 76 | 86.5179487179487 | -10.5179487179487 |
21 | 80.4 | 86.5179487179487 | -6.11794871794871 |
22 | 106.2 | 86.5179487179487 | 19.6820512820513 |
23 | 83.9 | 86.5179487179487 | -2.61794871794871 |
24 | 99.5 | 86.5179487179487 | 12.9820512820513 |
25 | 100.1 | 86.5179487179487 | 13.5820512820513 |
26 | 97 | 86.5179487179487 | 10.4820512820513 |
27 | 112.7 | 86.5179487179487 | 26.1820512820513 |
28 | 89.1 | 86.5179487179487 | 2.58205128205128 |
29 | 99.1 | 86.5179487179487 | 12.5820512820513 |
30 | 89.2 | 86.5179487179487 | 2.68205128205129 |
31 | 71.7 | 86.5179487179487 | -14.8179487179487 |
32 | 80 | 86.5179487179487 | -6.51794871794871 |
33 | 90.5 | 86.5179487179487 | 3.98205128205129 |
34 | 100.8 | 86.5179487179487 | 14.2820512820513 |
35 | 102.7 | 86.5179487179487 | 16.1820512820513 |
36 | 87.7 | 86.5179487179487 | 1.18205128205129 |
37 | 109.1 | 86.5179487179487 | 22.5820512820513 |
38 | 113.5 | 86.5179487179487 | 26.9820512820513 |
39 | 122.5 | 86.5179487179487 | 35.9820512820513 |
40 | 89.3 | 95.9619047619048 | -6.66190476190476 |
41 | 107.8 | 95.9619047619048 | 11.8380952380952 |
42 | 94 | 95.9619047619048 | -1.96190476190476 |
43 | 83 | 95.9619047619048 | -12.9619047619048 |
44 | 92.4 | 95.9619047619048 | -3.56190476190476 |
45 | 94.1 | 95.9619047619048 | -1.86190476190477 |
46 | 97.8 | 95.9619047619048 | 1.83809523809524 |
47 | 101.7 | 95.9619047619048 | 5.73809523809524 |
48 | 73.4 | 95.9619047619048 | -22.5619047619048 |
49 | 98.9 | 95.9619047619048 | 2.93809523809524 |
50 | 95.9 | 95.9619047619048 | -0.0619047619047556 |
51 | 108 | 95.9619047619048 | 12.0380952380952 |
52 | 98.5 | 95.9619047619048 | 2.53809523809524 |
53 | 97.6 | 95.9619047619048 | 1.63809523809523 |
54 | 97.3 | 95.9619047619048 | 1.33809523809524 |
55 | 86.5 | 95.9619047619048 | -9.46190476190476 |
56 | 96.8 | 95.9619047619048 | 0.838095238095236 |
57 | 106.7 | 95.9619047619048 | 10.7380952380952 |
58 | 112.6 | 95.9619047619048 | 16.6380952380952 |
59 | 96.1 | 95.9619047619048 | 0.138095238095233 |
60 | 86.8 | 95.9619047619048 | -9.16190476190476 |