Multiple Linear Regression - Estimated Regression Equation

wagens[t] = + 20987.3 + 2134.08000000000dummies[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)	20987.3	1818.203457	11.5429	0	0
dummies	2134.08000000000	1991.742095	1.0715	0.288399	0.1442

Multiple Linear Regression - Regression Statistics
Multiple R	0.139318064540605
R-squared	0.0194095231073401
Adjusted R-squared	0.00250279074712190
F-TEST (value)	1.14803515509661
F-TEST (DF numerator)	1
F-TEST (DF denominator)	58
p-value	0.288399170188137
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	5749.6641729217
Sum Squared Residuals	1917401009.88

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	Interpolation Forecast	Residuals Prediction Error
1	20366	23121.3800000001	-2755.38000000006
2	22782	23121.38	-339.379999999998
3	19169	23121.38	-3952.38
4	13807	23121.38	-9314.38
5	29743	23121.38	6621.62
6	25591	23121.38	2469.62
7	29096	23121.38	5974.62
8	26482	23121.38	3360.62
9	22405	23121.38	-716.379999999999
10	27044	23121.38	3922.62
11	17970	23121.38	-5151.38
12	18730	23121.38	-4391.38
13	19684	23121.38	-3437.38
14	19785	23121.38	-3336.38
15	18479	23121.38	-4642.38
16	10698	23121.38	-12423.38
17	31956	23121.38	8834.62
18	29506	23121.38	6384.62
19	34506	23121.38	11384.62
20	27165	23121.38	4043.62
21	26736	23121.38	3614.62
22	23691	23121.38	569.620000000001
23	18157	23121.38	-4964.38
24	17328	23121.38	-5793.38
25	18205	23121.38	-4916.38
26	20995	23121.38	-2126.38
27	17382	23121.38	-5739.38
28	9367	23121.38	-13754.38
29	31124	23121.38	8002.62
30	26551	23121.38	3429.62
31	30651	23121.38	7529.62
32	25859	23121.38	2737.62
33	25100	23121.38	1978.62
34	25778	23121.38	2656.62
35	20418	23121.38	-2703.38
36	18688	23121.38	-4433.38
37	20424	23121.38	-2697.38
38	24776	23121.38	1654.62
39	19814	23121.38	-3307.38
40	12738	23121.38	-10383.38
41	31566	23121.38	8444.62
42	30111	23121.38	6989.62
43	30019	23121.38	6897.62
44	31934	23121.38	8812.62
45	25826	23121.38	2704.62
46	26835	23121.38	3713.62
47	20205	23121.38	-2916.38
48	17789	23121.38	-5332.38
49	20520	23121.38	-2601.38
50	22518	23121.38	-603.379999999999
51	15572	20987.3	-5415.3
52	11509	20987.3	-9478.3
53	25447	20987.3	4459.7
54	24090	20987.3	3102.7
55	27786	20987.3	6798.7
56	26195	20987.3	5207.7
57	20516	20987.3	-471.300000000002
58	22759	20987.3	1771.70
59	19028	20987.3	-1959.3
60	16971	20987.3	-4016.3

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
5	0.733009250543166	0.533981498913668	0.266990749456834
6	0.64256000871254	0.71487998257492	0.35743999128746
7	0.657499565518382	0.685000868963236	0.342500434481618
8	0.568021371258626	0.863957257482748	0.431978628741374
9	0.447043982824241	0.894087965648482	0.552956017175759
10	0.377625943340921	0.755251886681843	0.622374056659079
11	0.365389339306270	0.730778678612541	0.63461066069373
12	0.321795569259772	0.643591138519544	0.678204430740228
13	0.259689040603669	0.519378081207337	0.740310959396331
14	0.203123681580456	0.406247363160912	0.796876318419544
15	0.171694902962063	0.343389805924126	0.828305097037937
16	0.414855910326748	0.829711820653496	0.585144089673252
17	0.573441133566992	0.853117732866016	0.426558866433008
18	0.603198218898292	0.793603562203415	0.396801781101708
19	0.794438801941659	0.411122396116682	0.205561198058341
20	0.760636437854188	0.478727124291623	0.239363562145812
21	0.717843044986449	0.564313910027101	0.282156955013550
22	0.647281085811228	0.705437828377545	0.352718914188772
23	0.625565896235537	0.748868207528925	0.374434103764463
24	0.621290146580484	0.757419706839032	0.378709853419516
25	0.596894545701324	0.806210908597352	0.403105454298676
26	0.530280718257658	0.939438563484684	0.469719281742342
27	0.526058130804509	0.947883738390981	0.473941869195491
28	0.831168482599105	0.337663034801790	0.168831517400895
29	0.867238015655933	0.265523968688133	0.132761984344067
30	0.83669019042368	0.326619619152642	0.163309809576321
31	0.862488876545392	0.275022246909216	0.137511123454608
32	0.825257911572373	0.349484176855255	0.174742088427627
33	0.776540078009107	0.446919843981786	0.223459921990893
34	0.726447035478913	0.547105929042174	0.273552964521087
35	0.675072174263269	0.649855651473462	0.324927825736731
36	0.650936838846957	0.698126322306086	0.349063161153043
37	0.598921992526652	0.802156014946697	0.401078007473348
38	0.523906470854022	0.952187058291957	0.476093529145978
39	0.481683090227903	0.963366180455806	0.518316909772097
40	0.723545274521431	0.552909450957139	0.276454725478569
41	0.759853062935161	0.480293874129678	0.240146937064839
42	0.764801326568569	0.470397346862861	0.235198673431430
43	0.778652810957464	0.442694378085071	0.221347189042536
44	0.871260098082089	0.257479803835822	0.128739901917911
45	0.842646759100967	0.314706481798066	0.157353240899033
46	0.84700827806878	0.305983443862442	0.152991721931221
47	0.783108122784724	0.433783754430552	0.216891877215276
48	0.734007459968166	0.531985080063668	0.265992540031834
49	0.64734646151435	0.7053070769713	0.35265353848565
50	0.539703479976756	0.920593040046488	0.460296520023244
51	0.521037586763982	0.957924826472035	0.478962413236018
52	0.813959049274905	0.372081901450189	0.186040950725095
53	0.7588038782733	0.482392243453401	0.241196121726701
54	0.642631351465765	0.71473729706847	0.357368648534235
55	0.699715209987857	0.600569580024286	0.300284790012143

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