Multiple Linear Regression - Estimated Regression Equation

suikerprijs[t] = + 0.959605263157894 + 0.00248245614035033M1[t] -0.00111403508771925M2[t] -0.000710526315789426M3[t] + 0.00369298245614038M4[t] + 0.00409649122807021M5[t] + 0.000500000000000024M6[t] + 0.00290350877192985M7[t] + 0.00838596491228074M8[t] + 0.00878947368421055M9[t] + 0.00669298245614037M10[t] -0.000403508771929817M11[t] -0.000403508771929818t + 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)	0.959605263157894	0.004791	200.3001	0	0
M1	0.00248245614035033	0.005731	0.4332	0.66709	0.333545
M2	-0.00111403508771925	0.005726	-0.1945	0.846688	0.423344
M3	-0.000710526315789426	0.005723	-0.1241	0.901789	0.450895
M4	0.00369298245614038	0.005721	0.6455	0.522094	0.261047
M5	0.00409649122807021	0.005719	0.7162	0.477808	0.238904
M6	0.000500000000000024	0.005719	0.0874	0.930747	0.465373
M7	0.00290350877192985	0.005719	0.5077	0.614351	0.307175
M8	0.00838596491228074	0.006035	1.3895	0.172013	0.086007
M9	0.00878947368421055	0.006032	1.4571	0.152534	0.076267
M10	0.00669298245614037	0.00603	1.1099	0.273344	0.136672
M11	-0.000403508771929817	0.006029	-0.0669	0.946955	0.473477
t	-0.000403508771929818	7.3e-05	-5.5358	2e-06	1e-06

Multiple Linear Regression - Regression Statistics
Multiple R	0.696861977056488
R-squared	0.485616615067078
Adjusted R-squared	0.338649933657671
F-TEST (value)	3.30426332288399
F-TEST (DF numerator)	12
F-TEST (DF denominator)	42
p-value	0.00198459704748566
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	0.00852535654742085
Sum Squared Residuals	0.00305263157894737

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	Interpolation Forecast	Residuals Prediction Error
1	0.96	0.961684210526318	-0.00168421052631794
2	0.95	0.957684210526316	-0.00768421052631566
3	0.95	0.957684210526316	-0.00768421052631567
4	0.96	0.961684210526316	-0.00168421052631567
5	0.96	0.961684210526316	-0.00168421052631566
6	0.96	0.957684210526316	0.00231578947368434
7	0.95	0.959684210526316	-0.00968421052631567
8	0.96	0.964763157894737	-0.00476315789473673
9	0.96	0.964763157894737	-0.00476315789473674
10	0.96	0.962263157894737	-0.00226315789473673
11	0.95	0.954763157894737	-0.00476315789473674
12	0.95	0.954763157894737	-0.00476315789473673
13	0.96	0.956842105263157	0.00315789473684274
14	0.96	0.952842105263158	0.00715789473684216
15	0.96	0.952842105263158	0.00715789473684216
16	0.96	0.956842105263158	0.00315789473684216
17	0.96	0.956842105263158	0.00315789473684216
18	0.95	0.952842105263158	-0.00284210526315785
19	0.95	0.954842105263158	-0.00484210526315785
20	0.95	0.959921052631579	-0.00992105263157892
21	0.95	0.959921052631579	-0.00992105263157892
22	0.95	0.957421052631579	-0.00742105263157892
23	0.95	0.949921052631579	7.89473684210919e-05
24	0.95	0.949921052631579	7.89473684210923e-05
25	0.95	0.952	-0.00199999999999942
26	0.95	0.948	0.00199999999999998
27	0.95	0.948	0.00199999999999998
28	0.96	0.952	0.00799999999999998
29	0.96	0.952	0.00799999999999998
30	0.96	0.948	0.0120000000000000
31	0.97	0.95	0.02
32	0.97	0.955078947368421	0.0149210526315789
33	0.97	0.955078947368421	0.0149210526315789
34	0.96	0.952578947368421	0.00742105263157891
35	0.95	0.945078947368421	0.00492105263157891
36	0.95	0.945078947368421	0.00492105263157892
37	0.95	0.947157894736842	0.0028421052631584
38	0.95	0.943157894736842	0.0068421052631578
39	0.95	0.943157894736842	0.0068421052631578
40	0.95	0.947157894736842	0.00284210526315780
41	0.95	0.947157894736842	0.0028421052631578
42	0.95	0.943157894736842	0.0068421052631578
43	0.95	0.945157894736842	0.0048421052631578
44	0.95	0.950236842105263	-0.000236842105263269
45	0.95	0.950236842105263	-0.000236842105263266
46	0.95	0.947736842105263	0.00226315789473673
47	0.94	0.940236842105263	-0.000236842105263269
48	0.94	0.940236842105263	-0.000236842105263267
49	0.94	0.942315789473684	-0.00231578947368378
50	0.93	0.938315789473684	-0.00831578947368428
51	0.93	0.938315789473684	-0.00831578947368427
52	0.93	0.942315789473684	-0.0123157894736843
53	0.93	0.942315789473684	-0.0123157894736843
54	0.92	0.938315789473684	-0.0183157894736843
55	0.93	0.940315789473684	-0.0103157894736843

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
16	0.0937230185123164	0.187446037024633	0.906276981487684
17	0.0431269303608617	0.0862538607217234	0.956873069639138
18	0.0894455017044053	0.178891003408811	0.910554498295595
19	0.0506561951953621	0.101312390390724	0.949343804804638
20	0.0879282070011502	0.175856414002300	0.91207179299885
21	0.158128741589582	0.316257483179163	0.841871258410418
22	0.260897722450413	0.521795444900827	0.739102277549587
23	0.242814470291286	0.485628940582572	0.757185529708714
24	0.259909094336989	0.519818188673978	0.740090905663011
25	0.416111433547898	0.832222867095796	0.583888566452102
26	0.481526214610314	0.963052429220629	0.518473785389685
27	0.670945179396424	0.658109641207153	0.329054820603576
28	0.645316130170983	0.709367739658033	0.354683869829017
29	0.636188729673203	0.727622540653594	0.363811270326797
30	0.620952992777528	0.758094014444943	0.379047007222472
31	0.872218462009846	0.255563075980307	0.127781537990154
32	0.882774652936025	0.234450694127950	0.117225347063975
33	0.871783269682515	0.256433460634969	0.128216730317485
34	0.851332727402	0.297334545196001	0.148667272598001
35	0.845302240692474	0.309395518615051	0.154697759307526
36	0.872448651043774	0.255102697912451	0.127551348956226
37	0.960868217095329	0.0782635658093429	0.0391317829046714
38	0.911937011965794	0.176125976068413	0.0880629880342064
39	0.817642244893452	0.364715510213096	0.182357755106548

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description	# significant tests	% significant tests	OK/NOK
1% type I error level	0	0	OK
5% type I error level	0	0	OK
10% type I error level	2	0.0833333333333333	OK