Multiple Linear Regression - Estimated Regression Equation |
werkl[t] = + 9.49129736541874 -0.0033318274051573Iprod[t] -0.00722191047269792t + 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) | 9.49129736541874 | 0.680281 | 13.952 | 0 | 0 |
Iprod | -0.0033318274051573 | 0.002183 | -1.5266 | 0.132402 | 0.066201 |
t | -0.00722191047269792 | 0.003698 | -1.9532 | 0.055713 | 0.027856 |
Multiple Linear Regression - Regression Statistics | |
Multiple R | 0.388374131532672 |
R-squared | 0.150834466043757 |
Adjusted R-squared | 0.121039184150555 |
F-TEST (value) | 5.06236076518454 |
F-TEST (DF numerator) | 2 |
F-TEST (DF denominator) | 57 |
p-value | 0.00946852263049802 |
Multiple Linear Regression - Residual Statistics | |
Residual Standard Deviation | 0.454991888492492 |
Sum Squared Residuals | 11.8000042598560 |
Multiple Linear Regression - Actuals, Interpolation, and Residuals | |||
Time or Index | Actuals | Interpolation Forecast | Residuals Prediction Error |
1 | 8.1 | 8.28794941649463 | -0.187949416494628 |
2 | 8.3 | 8.46197891686244 | -0.161978916862434 |
3 | 8.2 | 8.47774661548532 | -0.277746615485324 |
4 | 8.1 | 8.45186647154374 | -0.351866471543744 |
5 | 7.7 | 8.43998000270383 | -0.739980002703826 |
6 | 7.6 | 8.34413148325394 | -0.744131483253944 |
7 | 7.7 | 8.37855741534571 | -0.678557415345712 |
8 | 8.2 | 8.4113174337349 | -0.211317433734902 |
9 | 8.4 | 8.32313211731688 | 0.076867882683119 |
10 | 8.4 | 8.47250609488658 | -0.072506094886576 |
11 | 8.6 | 8.54658077309972 | 0.0534192269002831 |
12 | 8.4 | 8.28580679709455 | 0.114193202905452 |
13 | 8.5 | 8.26958895262793 | 0.230411047372074 |
14 | 8.7 | 8.35632457498066 | 0.343675425019336 |
15 | 8.7 | 8.30978710112711 | 0.39021289887289 |
16 | 8.6 | 8.41184912954357 | 0.188150870456429 |
17 | 7.4 | 8.36631120391156 | -0.966311203911564 |
18 | 7.3 | 8.15984601461046 | -0.85984601461046 |
19 | 7.4 | 8.2635739567295 | -0.8635739567295 |
20 | 9 | 8.33365044205645 | 0.666349557943549 |
21 | 9.2 | 8.13351572482514 | 1.06648427517485 |
22 | 9.2 | 8.37351540781512 | 0.82648459218488 |
23 | 8.5 | 8.37195760393119 | 0.128042396068811 |
24 | 8.3 | 8.12451093754665 | 0.175489062453351 |
25 | 8.3 | 8.15793732141687 | 0.14206267858313 |
26 | 8.6 | 8.2043578321672 | 0.395642167832794 |
27 | 8.6 | 8.18247588111181 | 0.417524118888184 |
28 | 8.5 | 8.27720788923693 | 0.222792110763069 |
29 | 8.1 | 8.25699185188412 | -0.156991851884120 |
30 | 8.1 | 8.10283635284399 | -0.00283635284398502 |
31 | 8 | 8.18590696505105 | -0.185906965051049 |
32 | 8.6 | 8.22099926262385 | 0.37900073737615 |
33 | 8.7 | 8.04851871285535 | 0.65148128714465 |
34 | 8.7 | 8.34249399980887 | 0.357506000191128 |
35 | 8.6 | 8.28396194729675 | 0.316038052703249 |
36 | 8.4 | 8.05583987986212 | 0.344160120137876 |
37 | 8.4 | 8.1499055225062 | 0.250094477493792 |
38 | 8.7 | 8.10070258672853 | 0.599297413271471 |
39 | 8.7 | 8.13612806704184 | 0.563871932958156 |
40 | 8.5 | 8.1575598722535 | 0.342440127746502 |
41 | 8.3 | 8.11801923595077 | 0.181980764049226 |
42 | 8.3 | 7.9248813562703 | 0.375118643729701 |
43 | 8.3 | 8.1292304860251 | 0.170769513974911 |
44 | 8.1 | 7.99539913415641 | 0.104600865843585 |
45 | 8.2 | 7.92787114765037 | 0.272128852349629 |
46 | 8.1 | 8.21651551075564 | -0.116515510755640 |
47 | 8.1 | 8.15631754454094 | -0.0563175445409412 |
48 | 7.9 | 7.93919050754333 | -0.0391905075433329 |
49 | 7.7 | 7.91830810470949 | -0.218308104709490 |
50 | 8.1 | 7.9387403616996 | 0.161259638300402 |
51 | 8 | 8.0054850196214 | -0.00548501962139219 |
52 | 7.7 | 7.98260352034445 | -0.282603520344455 |
53 | 7.8 | 7.98304481290362 | -0.183044812903619 |
54 | 7.6 | 7.80323424284377 | -0.203234242843773 |
55 | 7.4 | 7.95294140315398 | -0.552941403153983 |
56 | 7.7 | 7.90540438107888 | -0.205404381078882 |
57 | 7.8 | 7.77490485661536 | 0.0250951433846354 |
58 | 7.5 | 8.01390499138379 | -0.513904991383791 |
59 | 7.2 | 8.02300903519636 | -0.823009035196363 |
60 | 7 | 7.87118581533984 | -0.871185815339839 |