Multiple Linear Regression - Estimated Regression Equation |
Totaal[t] = + 0.985561382674693 + 0.00512745466226638Intermediaire[t] + 0.0791606277930283Duurzame[t] + 0.90284901497009`Niet-Duurzaam`[t] + 0.432723397663192M1[t] + 0.516710710020281M2[t] + 0.490458302459475M3[t] + 0.669615430179371M4[t] + 0.61141179663758M5[t] + 0.753034886197928M6[t] + 0.209506335240211M7[t] + 0.237812110676649M8[t] + 0.227756213647851M9[t] + 0.872187181607412M10[t] + 0.158817514259807M11[t] -0.0396749980712203t + 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) | 0.985561382674693 | 2.772767 | 0.3554 | 0.723426 | 0.361713 |
Intermediaire | 0.00512745466226638 | 0.017206 | 0.298 | 0.766664 | 0.383332 |
Duurzame | 0.0791606277930283 | 0.018007 | 4.396 | 4.2e-05 | 2.1e-05 |
`Niet-Duurzaam` | 0.90284901497009 | 0.019418 | 46.4959 | 0 | 0 |
M1 | 0.432723397663192 | 0.468245 | 0.9241 | 0.358885 | 0.179443 |
M2 | 0.516710710020281 | 0.468198 | 1.1036 | 0.273892 | 0.136946 |
M3 | 0.490458302459475 | 0.477218 | 1.0277 | 0.307938 | 0.153969 |
M4 | 0.669615430179371 | 0.467555 | 1.4322 | 0.156963 | 0.078481 |
M5 | 0.61141179663758 | 0.460817 | 1.3268 | 0.18929 | 0.094645 |
M6 | 0.753034886197928 | 0.460018 | 1.637 | 0.106545 | 0.053273 |
M7 | 0.209506335240211 | 0.612222 | 0.3422 | 0.733317 | 0.366658 |
M8 | 0.237812110676649 | 0.565533 | 0.4205 | 0.675521 | 0.337761 |
M9 | 0.227756213647851 | 0.518448 | 0.4393 | 0.661921 | 0.330961 |
M10 | 0.872187181607412 | 0.517443 | 1.6856 | 0.096748 | 0.048374 |
M11 | 0.158817514259807 | 0.471645 | 0.3367 | 0.737421 | 0.368711 |
t | -0.0396749980712203 | 0.011194 | -3.5444 | 0.000741 | 0.000371 |
Multiple Linear Regression - Regression Statistics | |
Multiple R | 0.997583351309772 |
R-squared | 0.995172542810435 |
Adjusted R-squared | 0.994041107531631 |
F-TEST (value) | 879.566477600183 |
F-TEST (DF numerator) | 15 |
F-TEST (DF denominator) | 64 |
p-value | 0 |
Multiple Linear Regression - Residual Statistics | |
Residual Standard Deviation | 0.776644682526761 |
Sum Squared Residuals | 38.603325625414 |
Multiple Linear Regression - Actuals, Interpolation, and Residuals | |||
Time or Index | Actuals | Interpolation Forecast | Residuals Prediction Error |
1 | 98.6 | 98.693820820494 | -0.0938208204939932 |
2 | 98 | 98.4210869725206 | -0.421086972520612 |
3 | 106.8 | 107.104655813211 | -0.304655813211284 |
4 | 96.6 | 96.677335061513 | -0.0773350615129729 |
5 | 100.1 | 100.244166915197 | -0.144166915197194 |
6 | 107.7 | 107.752818623171 | -0.0528186231711168 |
7 | 91.5 | 90.0076782793031 | 1.49232172069685 |
8 | 97.8 | 96.1800880553004 | 1.61991194469960 |
9 | 107.4 | 106.657192028285 | 0.742807971714512 |
10 | 117.5 | 117.152397904380 | 0.347602095620312 |
11 | 105.6 | 104.822719362253 | 0.777280637747145 |
12 | 97.4 | 96.5068810406312 | 0.893118959368851 |
13 | 99.5 | 98.5100159703746 | 0.989984029625405 |
14 | 98 | 97.6503051672215 | 0.349694832778541 |
15 | 104.3 | 103.953107954921 | 0.346892045078962 |
16 | 100.6 | 100.172736822890 | 0.427263177110341 |
17 | 101.1 | 100.61477432431 | 0.485225675690042 |
18 | 103.9 | 103.322532722853 | 0.577467277147464 |
19 | 96.9 | 96.2016081601222 | 0.69839183987783 |
20 | 95.5 | 94.8497549954305 | 0.650245004569463 |
21 | 108.4 | 111.085283621037 | -2.6852836210366 |
22 | 117 | 116.437489403178 | 0.56251059682184 |
23 | 103.8 | 106.389012895614 | -2.58901289561396 |
24 | 100.8 | 103.112652448673 | -2.31265244867262 |
25 | 110.6 | 111.067388052266 | -0.46738805226578 |
26 | 104 | 104.285907210285 | -0.285907210284583 |
27 | 112.6 | 112.867244543568 | -0.267244543568163 |
28 | 107.3 | 107.532999930987 | -0.232999930986981 |
29 | 98.9 | 99.2232081098778 | -0.323208109877778 |
30 | 109.8 | 110.513494502152 | -0.713494502152117 |
31 | 104.9 | 105.425718902514 | -0.525718902514363 |
32 | 102.2 | 102.794407380558 | -0.59440738055769 |
33 | 123.9 | 123.564292581309 | 0.335707418691071 |
34 | 124.9 | 125.166572296075 | -0.266572296074500 |
35 | 112.7 | 112.362289710075 | 0.337710289924902 |
36 | 121.9 | 121.646319948068 | 0.253680051931641 |
37 | 100.6 | 100.930840466022 | -0.330840466021845 |
38 | 104.3 | 104.418813625571 | -0.118813625570833 |
39 | 120.4 | 120.479514075329 | -0.0795140753288577 |
40 | 107.5 | 107.735464985040 | -0.235464985039839 |
41 | 102.9 | 102.872558171840 | 0.0274418281604338 |
42 | 125.6 | 125.715578536975 | -0.115578536975179 |
43 | 107.5 | 108.391640876849 | -0.891640876849039 |
44 | 108.8 | 109.577046253289 | -0.777046253289476 |
45 | 128.4 | 128.209138050031 | 0.190861949969342 |
46 | 121.1 | 121.569775519642 | -0.469775519641559 |
47 | 119.5 | 119.53065383807 | -0.0306538380700469 |
48 | 128.7 | 128.839581056756 | -0.139581056756431 |
49 | 108.7 | 109.110468220753 | -0.410468220752892 |
50 | 105.5 | 105.669015988695 | -0.169015988694799 |
51 | 119.8 | 119.755697283152 | 0.0443027168478744 |
52 | 111.3 | 111.513830875397 | -0.213830875397224 |
53 | 110.6 | 110.984832651544 | -0.384832651543857 |
54 | 120.1 | 120.124388935764 | -0.0243889357639288 |
55 | 97.5 | 97.832269846795 | -0.332269846794936 |
56 | 107.7 | 108.137269502667 | -0.437269502667028 |
57 | 127.3 | 126.519984690943 | 0.780015309057217 |
58 | 117.2 | 117.495225446645 | -0.295225446645365 |
59 | 119.8 | 118.766818896486 | 1.03318110351429 |
60 | 116.2 | 115.374410306947 | 0.82558969305282 |
61 | 111 | 110.983757910452 | 0.016242089547506 |
62 | 112.4 | 111.970002759860 | 0.429997240140147 |
63 | 130.6 | 130.39090489677 | 0.209095103229893 |
64 | 109.1 | 108.817795281279 | 0.28220471872121 |
65 | 118.8 | 118.477455026445 | 0.322544973555076 |
66 | 123.9 | 123.449802263620 | 0.45019773637979 |
67 | 101.6 | 101.903719011670 | -0.303719011669791 |
68 | 112.8 | 113.014221875572 | -0.21422187557207 |
69 | 128 | 127.364109028396 | 0.635890971604458 |
70 | 129.6 | 129.478539430081 | 0.121460569919273 |
71 | 125.8 | 125.328505297502 | 0.471494702497667 |
72 | 119.5 | 119.020155198924 | 0.479844801075742 |
73 | 115.7 | 115.403708559638 | 0.296291440361599 |
74 | 113.6 | 113.384868275848 | 0.21513172415214 |
75 | 129.7 | 129.648875433048 | 0.0511245669515757 |
76 | 112 | 111.949837042895 | 0.0501629571054628 |
77 | 116.8 | 116.783004800787 | 0.0169951992132756 |
78 | 126.3 | 126.421384415465 | -0.121384415464915 |
79 | 112.9 | 113.037364922747 | -0.137364922746547 |
80 | 115.9 | 116.147211937183 | -0.247211937182799 |