Multiple Linear Regression - Estimated Regression Equation |
x[t] = + 6.70434782608696 + 1.38708074534161y[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) | 6.70434782608696 | 0.10687 | 62.7339 | 0 | 0 |
y | 1.38708074534161 | 0.123182 | 11.2604 | 0 | 0 |
Multiple Linear Regression - Regression Statistics | |
Multiple R | 0.763007246200546 |
R-squared | 0.58218005775454 |
Adjusted R-squared | 0.577588629817777 |
F-TEST (value) | 126.797167629064 |
F-TEST (DF numerator) | 1 |
F-TEST (DF denominator) | 91 |
p-value | 0 |
Multiple Linear Regression - Residual Statistics | |
Residual Standard Deviation | 0.512528984548903 |
Sum Squared Residuals | 23.9044223602484 |
Multiple Linear Regression - Actuals, Interpolation, and Residuals | |||
Time or Index | Actuals | Interpolation Forecast | Residuals Prediction Error |
1 | 7.4 | 6.70434782608696 | 0.695652173913044 |
2 | 7.2 | 6.70434782608696 | 0.495652173913043 |
3 | 7 | 6.70434782608696 | 0.295652173913044 |
4 | 6.6 | 6.70434782608696 | -0.104347826086957 |
5 | 6.4 | 6.70434782608696 | -0.304347826086956 |
6 | 6.4 | 6.70434782608696 | -0.304347826086956 |
7 | 6.8 | 6.70434782608696 | 0.0956521739130434 |
8 | 7.3 | 6.70434782608696 | 0.595652173913043 |
9 | 7 | 6.70434782608696 | 0.295652173913044 |
10 | 7 | 6.70434782608696 | 0.295652173913044 |
11 | 6.7 | 6.70434782608696 | -0.00434782608695632 |
12 | 6.7 | 6.70434782608696 | -0.00434782608695632 |
13 | 6.3 | 6.70434782608696 | -0.404347826086957 |
14 | 6.2 | 6.70434782608696 | -0.504347826086956 |
15 | 6 | 6.70434782608696 | -0.704347826086957 |
16 | 6.3 | 6.70434782608696 | -0.404347826086957 |
17 | 6.2 | 6.70434782608696 | -0.504347826086956 |
18 | 6.1 | 6.70434782608696 | -0.604347826086957 |
19 | 6.2 | 6.70434782608696 | -0.504347826086956 |
20 | 6.6 | 6.70434782608696 | -0.104347826086957 |
21 | 6.6 | 6.70434782608696 | -0.104347826086957 |
22 | 7.8 | 6.70434782608696 | 1.09565217391304 |
23 | 7.4 | 6.70434782608696 | 0.695652173913044 |
24 | 7.4 | 8.09142857142857 | -0.691428571428571 |
25 | 7.5 | 8.09142857142857 | -0.591428571428571 |
26 | 7.4 | 8.09142857142857 | -0.691428571428571 |
27 | 7.4 | 8.09142857142857 | -0.691428571428571 |
28 | 7 | 8.09142857142857 | -1.09142857142857 |
29 | 6.9 | 8.09142857142857 | -1.19142857142857 |
30 | 6.9 | 8.09142857142857 | -1.19142857142857 |
31 | 7.6 | 8.09142857142857 | -0.491428571428572 |
32 | 7.7 | 8.09142857142857 | -0.391428571428571 |
33 | 7.6 | 8.09142857142857 | -0.491428571428572 |
34 | 8.2 | 8.09142857142857 | 0.108571428571428 |
35 | 8 | 8.09142857142857 | -0.0914285714285714 |
36 | 8.1 | 8.09142857142857 | 0.00857142857142826 |
37 | 8.3 | 8.09142857142857 | 0.208571428571429 |
38 | 8.2 | 8.09142857142857 | 0.108571428571428 |
39 | 8.1 | 8.09142857142857 | 0.00857142857142826 |
40 | 7.7 | 8.09142857142857 | -0.391428571428571 |
41 | 7.6 | 8.09142857142857 | -0.491428571428572 |
42 | 7.7 | 8.09142857142857 | -0.391428571428571 |
43 | 8.2 | 8.09142857142857 | 0.108571428571428 |
44 | 8.4 | 8.09142857142857 | 0.308571428571429 |
45 | 8.4 | 8.09142857142857 | 0.308571428571429 |
46 | 8.6 | 8.09142857142857 | 0.508571428571428 |
47 | 8.4 | 8.09142857142857 | 0.308571428571429 |
48 | 8.5 | 8.09142857142857 | 0.408571428571429 |
49 | 8.7 | 8.09142857142857 | 0.608571428571428 |
50 | 8.7 | 8.09142857142857 | 0.608571428571428 |
51 | 8.6 | 8.09142857142857 | 0.508571428571428 |
52 | 7.4 | 8.09142857142857 | -0.691428571428571 |
53 | 7.3 | 8.09142857142857 | -0.791428571428572 |
54 | 7.4 | 8.09142857142857 | -0.691428571428571 |
55 | 9 | 8.09142857142857 | 0.908571428571429 |
56 | 9.2 | 8.09142857142857 | 1.10857142857143 |
57 | 9.2 | 8.09142857142857 | 1.10857142857143 |
58 | 8.5 | 8.09142857142857 | 0.408571428571429 |
59 | 8.3 | 8.09142857142857 | 0.208571428571429 |
60 | 8.3 | 8.09142857142857 | 0.208571428571429 |
61 | 8.6 | 8.09142857142857 | 0.508571428571428 |
62 | 8.6 | 8.09142857142857 | 0.508571428571428 |
63 | 8.5 | 8.09142857142857 | 0.408571428571429 |
64 | 8.1 | 8.09142857142857 | 0.00857142857142826 |
65 | 8.1 | 8.09142857142857 | 0.00857142857142826 |
66 | 8 | 8.09142857142857 | -0.0914285714285714 |
67 | 8.6 | 8.09142857142857 | 0.508571428571428 |
68 | 8.7 | 8.09142857142857 | 0.608571428571428 |
69 | 8.7 | 8.09142857142857 | 0.608571428571428 |
70 | 8.6 | 8.09142857142857 | 0.508571428571428 |
71 | 8.4 | 8.09142857142857 | 0.308571428571429 |
72 | 8.4 | 8.09142857142857 | 0.308571428571429 |
73 | 8.7 | 8.09142857142857 | 0.608571428571428 |
74 | 8.7 | 8.09142857142857 | 0.608571428571428 |
75 | 8.5 | 8.09142857142857 | 0.408571428571429 |
76 | 8.3 | 8.09142857142857 | 0.208571428571429 |
77 | 8.3 | 8.09142857142857 | 0.208571428571429 |
78 | 8.3 | 8.09142857142857 | 0.208571428571429 |
79 | 8.1 | 8.09142857142857 | 0.00857142857142826 |
80 | 8.2 | 8.09142857142857 | 0.108571428571428 |
81 | 8.1 | 8.09142857142857 | 0.00857142857142826 |
82 | 8.1 | 8.09142857142857 | 0.00857142857142826 |
83 | 7.9 | 8.09142857142857 | -0.191428571428571 |
84 | 7.7 | 8.09142857142857 | -0.391428571428571 |
85 | 8.1 | 8.09142857142857 | 0.00857142857142826 |
86 | 8 | 8.09142857142857 | -0.0914285714285714 |
87 | 7.7 | 8.09142857142857 | -0.391428571428571 |
88 | 7.8 | 8.09142857142857 | -0.291428571428572 |
89 | 7.6 | 8.09142857142857 | -0.491428571428572 |
90 | 7.4 | 8.09142857142857 | -0.691428571428571 |
91 | 7.7 | 8.09142857142857 | -0.391428571428571 |
92 | 7.9 | 8.09142857142857 | -0.191428571428571 |
93 | 7.6 | 8.09142857142857 | -0.491428571428572 |