Multiple Linear Regression - Estimated Regression Equation |
werkl[t] = + 9.82683636479204 -0.00502917342180249Iprod[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) | 9.82683636479204 | 0.674016 | 14.5795 | 0 | 0 |
Iprod | -0.00502917342180249 | 0.00205 | -2.4531 | 0.01719 | 0.008595 |
Multiple Linear Regression - Regression Statistics | |
Multiple R | 0.306595751824478 |
R-squared | 0.0940009550368167 |
Adjusted R-squared | 0.0783802818477963 |
F-TEST (value) | 6.01772752680652 |
F-TEST (DF numerator) | 1 |
F-TEST (DF denominator) | 58 |
p-value | 0.0171902079089175 |
Multiple Linear Regression - Residual Statistics | |
Residual Standard Deviation | 0.465902215743419 |
Sum Squared Residuals | 12.5897627288084 |
Multiple Linear Regression - Actuals, Interpolation, and Residuals | |||
Time or Index | Actuals | Interpolation Forecast | Residuals Prediction Error |
1 | 8.1 | 8.02136310636495 | 0.0786368936350463 |
2 | 8.3 | 8.294950140511 | 0.00504985948900167 |
3 | 8.2 | 8.32965143712144 | -0.129651437121437 |
4 | 8.1 | 8.30148806595934 | -0.201488065959342 |
5 | 7.7 | 8.29444722316882 | -0.594447223168818 |
6 | 7.6 | 8.16067121014887 | -0.560671210148873 |
7 | 7.7 | 8.2235358779214 | -0.523535877921403 |
8 | 8.2 | 8.28388595898303 | -0.083885958983034 |
9 | 8.4 | 8.16167704483323 | 0.238322955166768 |
10 | 8.4 | 8.39804819565795 | 0.00195180434205053 |
11 | 8.6 | 8.52076002714993 | 0.0792399728500688 |
12 | 8.4 | 8.13803992975076 | 0.261960070249239 |
13 | 8.5 | 8.1244611615119 | 0.375538838488106 |
14 | 8.7 | 8.26628385200672 | 0.433716147993275 |
15 | 8.7 | 8.20693960562945 | 0.493060394370544 |
16 | 8.6 | 8.37189649386458 | 0.228103506135423 |
17 | 7.4 | 8.31406099951385 | -0.914060999513848 |
18 | 7.3 | 8.01331642889006 | -0.713316428890059 |
19 | 7.4 | 8.18078790383608 | -0.780787903836082 |
20 | 9 | 8.2974647272219 | 0.7025352727781 |
21 | 9.2 | 8.00627558609954 | 1.19372441390046 |
22 | 9.2 | 8.37944025399728 | 0.820559746002719 |
23 | 8.5 | 8.38798984881434 | 0.112010151185655 |
24 | 8.3 | 8.02538644510238 | 0.274613554897616 |
25 | 8.3 | 8.08674236084838 | 0.213257639151625 |
26 | 8.6 | 8.1677120529394 | 0.432287947060604 |
27 | 8.6 | 8.14558368988346 | 0.454416310116535 |
28 | 8.5 | 8.29947639659062 | 0.200523603409379 |
29 | 8.1 | 8.27986262024559 | -0.179862620245592 |
30 | 8.1 | 8.0580760723441 | 0.0419239276558983 |
31 | 8 | 8.19436667207495 | -0.194366672074949 |
32 | 8.6 | 8.25823717453184 | 0.341762825468159 |
33 | 8.7 | 8.00879017281044 | 0.691209827189562 |
34 | 8.7 | 8.46342745014138 | 0.236572549858617 |
35 | 8.6 | 8.38597817944562 | 0.214021820554376 |
36 | 8.4 | 8.05254398158012 | 0.347456018419882 |
37 | 8.4 | 8.20543085360291 | 0.194569146397086 |
38 | 8.7 | 8.1420632684882 | 0.557936731511796 |
39 | 8.7 | 8.20643668828727 | 0.493563311712724 |
40 | 8.5 | 8.24968757971478 | 0.250312420285224 |
41 | 8.3 | 8.2009045975233 | 0.0990954024767086 |
42 | 8.3 | 7.92027672058671 | 0.379723279413288 |
43 | 8.3 | 8.23962923287117 | 0.0603707671288295 |
44 | 8.1 | 8.04852064284268 | 0.0514793571573232 |
45 | 8.2 | 7.95749260390805 | 0.242507396091948 |
46 | 8.1 | 8.40408320376411 | -0.304083203764113 |
47 | 8.1 | 8.32411934635745 | -0.224119346357454 |
48 | 7.9 | 8.0072814207839 | -0.107281420783896 |
49 | 7.7 | 7.9866618097545 | -0.286661809754506 |
50 | 8.1 | 8.02840394915547 | 0.0715960508445332 |
51 | 8 | 8.14005159911948 | -0.140051599119482 |
52 | 7.7 | 8.11641448403701 | -0.41641448403701 |
53 | 7.8 | 8.12798158290716 | -0.327981582907156 |
54 | 7.6 | 7.86747039965779 | -0.267470399657787 |
55 | 7.4 | 8.10434446782468 | -0.704344467824684 |
56 | 7.7 | 8.04349146942087 | -0.343491469420874 |
57 | 7.8 | 7.85741205281418 | -0.0574120528141818 |
58 | 7.5 | 8.22906796868539 | -0.729067968685386 |
59 | 7.2 | 8.25371091845222 | -1.05371091845222 |
60 | 7 | 8.03544479194599 | -1.03544479194599 |