Multiple Linear Regression - Estimated Regression Equation |
Werkl[t] = + 8.46881355932202 -0.00946929702695185t + 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) | 8.46881355932202 | 0.120319 | 70.3863 | 0 | 0 |
t | -0.00946929702695185 | 0.00343 | -2.7604 | 0.007716 | 0.003858 |
Multiple Linear Regression - Regression Statistics | |
Multiple R | 0.340760119769236 |
R-squared | 0.116117459225144 |
Adjusted R-squared | 0.100878105073854 |
F-TEST (value) | 7.61957876117147 |
F-TEST (DF numerator) | 1 |
F-TEST (DF denominator) | 58 |
p-value | 0.00771617930509949 |
Multiple Linear Regression - Residual Statistics | |
Residual Standard Deviation | 0.460180470344337 |
Sum Squared Residuals | 12.2824317866074 |
Multiple Linear Regression - Actuals, Interpolation, and Residuals | |||
Time or Index | Actuals | Interpolation Forecast | Residuals Prediction Error |
1 | 8.1 | 8.45934426229513 | -0.359344262295127 |
2 | 8.3 | 8.44987496526813 | -0.149874965268126 |
3 | 8.2 | 8.44040566824117 | -0.240405668241176 |
4 | 8.1 | 8.43093637121422 | -0.330936371214223 |
5 | 7.7 | 8.42146707418727 | -0.721467074187271 |
6 | 7.6 | 8.41199777716032 | -0.81199777716032 |
7 | 7.7 | 8.40252848013337 | -0.702528480133367 |
8 | 8.2 | 8.39305918310642 | -0.193059183106416 |
9 | 8.4 | 8.38358988607946 | 0.0164101139205365 |
10 | 8.4 | 8.37412058905251 | 0.0258794109474883 |
11 | 8.6 | 8.36465129202556 | 0.235348707974439 |
12 | 8.4 | 8.3551819949986 | 0.0448180050013921 |
13 | 8.5 | 8.34571269797166 | 0.154287302028344 |
14 | 8.7 | 8.3362434009447 | 0.363756599055295 |
15 | 8.7 | 8.32677410391775 | 0.373225896082247 |
16 | 8.6 | 8.3173048068908 | 0.282695193109199 |
17 | 7.4 | 8.30783550986385 | -0.907835509863849 |
18 | 7.3 | 8.2983662128369 | -0.998366212836897 |
19 | 7.4 | 8.28889691580994 | -0.888896915809945 |
20 | 9 | 8.279427618783 | 0.720572381217006 |
21 | 9.2 | 8.26995832175604 | 0.930041678243958 |
22 | 9.2 | 8.26048902472909 | 0.93951097527091 |
23 | 8.5 | 8.25101972770214 | 0.248980272297862 |
24 | 8.3 | 8.24155043067519 | 0.0584495693248146 |
25 | 8.3 | 8.23208113364823 | 0.0679188663517664 |
26 | 8.6 | 8.22261183662128 | 0.377388163378717 |
27 | 8.6 | 8.21314253959433 | 0.386857460405669 |
28 | 8.5 | 8.20367324256738 | 0.296326757432621 |
29 | 8.1 | 8.19420394554043 | -0.0942039455404272 |
30 | 8.1 | 8.18473464851347 | -0.0847346485134754 |
31 | 8 | 8.17526535148652 | -0.175265351486523 |
32 | 8.6 | 8.16579605445957 | 0.434203945540428 |
33 | 8.7 | 8.15632675743262 | 0.54367324256738 |
34 | 8.7 | 8.14685746040567 | 0.553142539594332 |
35 | 8.6 | 8.13738816337872 | 0.462611836621284 |
36 | 8.4 | 8.12791886635176 | 0.272081133648236 |
37 | 8.4 | 8.11844956932481 | 0.281550430675188 |
38 | 8.7 | 8.10898027229786 | 0.591019727702139 |
39 | 8.7 | 8.09951097527091 | 0.600489024729091 |
40 | 8.5 | 8.09004167824396 | 0.409958321756043 |
41 | 8.3 | 8.080572381217 | 0.219427618782996 |
42 | 8.3 | 8.07110308419005 | 0.228896915809948 |
43 | 8.3 | 8.0616337871631 | 0.238366212836900 |
44 | 8.1 | 8.05216449013615 | 0.0478355098638505 |
45 | 8.2 | 8.0426951931092 | 0.157304806890802 |
46 | 8.1 | 8.03322589608224 | 0.0667741039177542 |
47 | 8.1 | 8.0237565990553 | 0.076243400944706 |
48 | 7.9 | 8.01428730202834 | -0.114287302028341 |
49 | 7.7 | 8.00481800500139 | -0.30481800500139 |
50 | 8.1 | 7.99534870797444 | 0.104651292025562 |
51 | 8 | 7.98587941094749 | 0.0141205890525137 |
52 | 7.7 | 7.97641011392053 | -0.276410113920534 |
53 | 7.8 | 7.96694081689358 | -0.166940816893583 |
54 | 7.6 | 7.95747151986663 | -0.357471519866631 |
55 | 7.4 | 7.94800222283968 | -0.548002222839678 |
56 | 7.7 | 7.93853292581273 | -0.238532925812727 |
57 | 7.8 | 7.92906362878577 | -0.129063628785775 |
58 | 7.5 | 7.91959433175882 | -0.419594331758823 |
59 | 7.2 | 7.91012503473187 | -0.710125034731871 |
60 | 7 | 7.90065573770492 | -0.90065573770492 |