Multiple Linear Regression - Estimated Regression Equation

Broodprijzen[t] = + 1.4814 + 0.1465X[t] -0.0127000000000015M1[t] + 0.00730000000000005M2[t] + 0.00930000000000006M3[t] + 0.0113000000000000M4[t] + 0.0113000000000000M5[t] + 0.0113M6[t] -0.014M7[t] -0.00399999999999999M8[t] -0.00199999999999998M9[t] + 1.17154354015985e-17M10[t] + 8.22851594197665e-18M11[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)	1.4814	0.017383	85.2203	0	0
X	0.1465	0.010864	13.4843	0	0
M1	-0.0127000000000015	0.023902	-0.5313	0.597686	0.298843
M2	0.00730000000000005	0.023902	0.3054	0.761399	0.380699
M3	0.00930000000000006	0.023902	0.3891	0.698966	0.349483
M4	0.0113000000000000	0.023902	0.4728	0.638568	0.319284
M5	0.0113000000000000	0.023902	0.4728	0.638568	0.319284
M6	0.0113	0.023902	0.4728	0.638568	0.319284
M7	-0.014	0.023803	-0.5882	0.559239	0.279619
M8	-0.00399999999999999	0.023803	-0.168	0.867268	0.433634
M9	-0.00199999999999998	0.023803	-0.084	0.933395	0.466697
M10	1.17154354015985e-17	0.023803	0	1	0.5
M11	8.22851594197665e-18	0.023803	0	1	0.5

Multiple Linear Regression - Regression Statistics
Multiple R	0.894438385879152
R-squared	0.800020026134103
Adjusted R-squared	0.748961309402385
F-TEST (value)	15.6686277553294
F-TEST (DF numerator)	12
F-TEST (DF denominator)	47
p-value	1.39666056497845e-12
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	0.0376357118772935
Sum Squared Residuals	0.0665730000000007

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	Interpolation Forecast	Residuals Prediction Error
1	1.43	1.46870000000001	-0.0387000000000059
2	1.43	1.4887	-0.0587000000000001
3	1.43	1.4907	-0.0607
4	1.43	1.4927	-0.0627000000000001
5	1.43	1.4927	-0.0627
6	1.43	1.4927	-0.0627
7	1.44	1.4674	-0.0274
8	1.48	1.4774	0.00260000000000006
9	1.48	1.4794	0.00060000000000003
10	1.48	1.4814	-0.00139999999999997
11	1.48	1.4814	-0.00139999999999997
12	1.48	1.4814	-0.00139999999999995
13	1.48	1.4687	0.0113000000000015
14	1.48	1.4887	-0.00869999999999997
15	1.48	1.4907	-0.0107
16	1.48	1.4927	-0.0127000000000000
17	1.48	1.4927	-0.0127000000000000
18	1.48	1.4927	-0.0127000000000000
19	1.48	1.4674	0.0126000000000000
20	1.48	1.4774	0.00260000000000005
21	1.48	1.4794	0.000600000000000037
22	1.48	1.4814	-0.00139999999999996
23	1.48	1.4814	-0.00139999999999995
24	1.48	1.4814	-0.00139999999999994
25	1.48	1.4687	0.0113000000000015
26	1.48	1.4887	-0.00869999999999997
27	1.48	1.4907	-0.0107
28	1.48	1.4927	-0.0127000000000000
29	1.48	1.4927	-0.0127000000000000
30	1.48	1.4927	-0.0127000000000000
31	1.48	1.4674	0.0126000000000000
32	1.48	1.4774	0.00260000000000005
33	1.48	1.4794	0.000600000000000037
34	1.48	1.4814	-0.00139999999999996
35	1.48	1.4814	-0.00139999999999995
36	1.48	1.4814	-0.00139999999999994
37	1.48	1.4687	0.0113000000000015
38	1.57	1.4887	0.0813000000000001
39	1.58	1.4907	0.0893
40	1.58	1.4927	0.0873000000000002
41	1.58	1.4927	0.0873000000000001
42	1.58	1.4927	0.0873000000000002
43	1.59	1.6139	-0.0239000000000000
44	1.6	1.6239	-0.0239
45	1.6	1.6259	-0.0259
46	1.61	1.6279	-0.0179000000000000
47	1.61	1.6279	-0.0179000000000000
48	1.61	1.6279	-0.0179000000000000
49	1.62	1.6152	0.00480000000000148
50	1.63	1.6352	-0.00520000000000016
51	1.63	1.6372	-0.0072000000000002
52	1.64	1.6392	0.000799999999999853
53	1.64	1.6392	0.000799999999999835
54	1.64	1.6392	0.000799999999999856
55	1.64	1.6139	0.0260999999999999
56	1.64	1.6239	0.0160999999999999
57	1.65	1.6259	0.0240999999999999
58	1.65	1.6279	0.0220999999999998
59	1.65	1.6279	0.0220999999999999
60	1.65	1.6279	0.0220999999999999

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
16	0.750523794598804	0.498952410802391	0.249476205401196
17	0.728412019662652	0.543175960674695	0.271587980337348
18	0.713750278946885	0.57249944210623	0.286249721053115
19	0.649221008337855	0.701557983324291	0.350778991662145
20	0.525325056973346	0.949349886053309	0.474674943026654
21	0.404661402273339	0.809322804546677	0.595338597726661
22	0.297176086226124	0.594352172452248	0.702823913773876
23	0.207652370269801	0.415304740539603	0.792347629730199
24	0.138113998572900	0.276227997145800	0.8618860014271
25	0.100735445353483	0.201470890706965	0.899264554646517
26	0.0897001275046123	0.179400255009225	0.910299872495388
27	0.0871285771738437	0.174257154347687	0.912871422826156
28	0.0956243735937527	0.191248747187505	0.904375626406247
29	0.114939664134799	0.229879328269599	0.8850603358652
30	0.153758472436869	0.307516944873738	0.846241527563131
31	0.118443197012218	0.236886394024436	0.881556802987782
32	0.086824388934521	0.173648777869042	0.91317561106548
33	0.0690789344651016	0.138157868930203	0.930921065534898
34	0.0661757506482803	0.132351501296561	0.93382424935172
35	0.081094167115097	0.162188334230194	0.918905832884903
36	0.160480376220501	0.320960752441003	0.839519623779499
37	0.32671885784092	0.65343771568184	0.67328114215908
38	0.616101005523176	0.767797988953648	0.383898994476824
39	0.755491827992885	0.489016344014231	0.244508172007115
40	0.791531257438814	0.416937485122372	0.208468742561186
41	0.782628394783673	0.434743210432655	0.217371605216327
42	0.740544571721749	0.518910856556502	0.259455428278251
43	0.700185881556137	0.599628236887726	0.299814118443863
44	0.606171509122721	0.787656981754558	0.393828490877279

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	0	0	OK