Multiple Linear Regression - Estimated Regression Equation

geb[t] = + 2.25568655873471 + 0.00518056008851177auto[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)	2.25568655873471	0.174453	12.93	0	0
auto	0.00518056008851177	0.007439	0.6964	0.48893	0.244465

Multiple Linear Regression - Regression Statistics
Multiple R	0.090289779416755
R-squared	0.00815224426712628
Adjusted R-squared	-0.00865873464360045
F-TEST (value)	0.484935726254735
F-TEST (DF numerator)	1
F-TEST (DF denominator)	59
p-value	0.488929557573516
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	0.329111628192011
Sum Squared Residuals	6.39055336486061

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	Interpolation Forecast	Residuals Prediction Error
1	2.155	2.37371007867118	-0.218710078671178
2	2.172	2.35499271507139	-0.182992715071388
3	2.15	2.32721455187679	-0.177214551876788
4	2.533	2.40977195744731	0.123228042552688
5	2.058	2.38826227195981	-0.330262271959811
6	2.16	2.40642013507004	-0.246420135070045
7	2.26	2.39287815099867	-0.132878150998675
8	2.498	2.37175700751781	0.126242992482188
9	2.695	2.39578962576842	0.299210374231581
10	2.799	2.34878122352526	0.450218776474737
11	2.947	2.35271844919253	0.594281550807468
12	2.93	2.35766070351697	0.572339296483028
13	2.318	2.35818394008591	-0.0401839400859115
14	2.54	2.35141812861032	0.188581871389685
15	2.57	2.31110819056161	0.258891809438395
16	2.669	2.42123653692319	0.247763463076812
17	2.45	2.40854416470633	0.0414558352936657
18	2.842	2.43444696514889	0.407553034851107
19	3.44	2.39641647353913	1.04358352646087
20	2.678	2.39419401326116	0.283805986738843
21	2.981	2.37841920779164	0.602580792208361
22	2.26	2.34974998826181	-0.0897499882618146
23	2.844	2.34545530394844	0.498544696051562
24	2.546	2.34999865514606	0.196001344853937
25	2.456	2.36445241779301	0.0915475822069892
26	2.295	2.34573505419322	-0.0507350541932179
27	2.379	2.30421286508380	0.074787134916204
28	2.479	2.41692631092955	0.0620736890704536
29	2.057	2.39323560964478	-0.336235609644782
30	2.28	2.41447590600768	-0.134475906007681
31	2.351	2.38965066206353	-0.0386506620635321
32	2.276	2.38571861695635	-0.109718616956352
33	2.548	2.38923103669636	0.158768963303637
34	2.311	2.36146323462194	-0.0504632346219396
35	2.201	2.35250086566881	-0.151500865668814
36	2.725	2.36149431798247	0.363505682017530
37	2.408	2.38404011548767	0.0239598845123261
38	2.139	2.35833417632848	-0.219334176328479
39	1.898	2.32167653314217	-0.423676533142169
40	2.537	2.41921611848867	0.117783881511331
41	2.069	2.41167840355988	-0.342678403559884
42	2.063	2.41120179203174	-0.348201792031741
43	2.524	2.42112256460124	0.102877435398759
44	2.437	2.38947970358061	0.0475202964193887
45	2.189	2.39470688870992	-0.205706888709919
46	2.793	2.36035977532309	0.432640224676914
47	2.074	2.34784354214924	-0.273843542149242
48	2.622	2.36199165175097	0.260008348249032
49	2.278	2.37234241080781	-0.0943424108078142
50	2.144	2.33635824043301	-0.192358240433011
51	2.427	2.31530962479339	0.111690375206612
52	2.139	2.38751627130707	-0.248516271307065
53	1.828	2.38048625126695	-0.552486251266955
54	2.072	2.39963360135409	-0.327633601354094
55	1.8	2.39139133025327	-0.591391330253272
56	1.758	2.36197092951061	-0.603970929510614
57	2.246	2.37359092578915	-0.127590925789146
58	1.987	2.35426225609891	-0.367262256098908
59	1.868	2.34360584399684	-0.475605843996839
60	2.514	2.35948426066813	0.154515739331872
61	2.121	2.37217145232489	-0.251171452324893

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
5	0.155272057440774	0.310544114881548	0.844727942559226
6	0.0882425640186288	0.176485128037258	0.911757435981371
7	0.0361526923853145	0.072305384770629	0.963847307614686
8	0.0514079343248494	0.102815868649699	0.94859206567515
9	0.103313030245672	0.206626060491344	0.896686969754328
10	0.269609857466106	0.539219714932213	0.730390142533894
11	0.479385324141844	0.958770648283689	0.520614675858156
12	0.596248125623177	0.807503748753645	0.403751874376823
13	0.515804755694768	0.968390488610463	0.484195244305232
14	0.430167851484381	0.860335702968762	0.569832148515619
15	0.359133086496969	0.718266172993938	0.640866913503031
16	0.339847538645462	0.679695077290923	0.660152461354538
17	0.262470725399036	0.524941450798073	0.737529274600964
18	0.298652280942175	0.597304561884349	0.701347719057825
19	0.869377958160475	0.261244083679049	0.130622041839525
20	0.851893053494913	0.296213893010174	0.148106946505087
21	0.927982312806564	0.144035374386873	0.0720176871934364
22	0.908639659958935	0.182720680082130	0.0913603400410648
23	0.944239401512995	0.111521196974011	0.0557605984870054
24	0.933074024593712	0.133851950812576	0.0669259754062878
25	0.91417011985187	0.171659760296259	0.0858298801481295
26	0.89041294864393	0.219174102712138	0.109587051356069
27	0.862672533278229	0.274654933443542	0.137327466721771
28	0.832517407688786	0.334965184622429	0.167482592311214
29	0.854789965335394	0.290420069329212	0.145210034664606
30	0.825216861304845	0.349566277390311	0.174783138695155
31	0.782870246059426	0.434259507881148	0.217129753940574
32	0.738920390299766	0.522159219400468	0.261079609700234
33	0.713546352701121	0.572907294597758	0.286453647298879
34	0.659736149542526	0.680527700914949	0.340263850457474
35	0.610562100139168	0.778875799721665	0.389437899860832
36	0.693269289816343	0.613461420367314	0.306730710183657
37	0.646042122097132	0.707915755805736	0.353957877902868
38	0.604407731024801	0.791184537950398	0.395592268975199
39	0.637390586662685	0.725218826674631	0.362609413337315
40	0.631392945251274	0.737214109497451	0.368607054748726
41	0.609161907496162	0.781676185007677	0.390838092503838
42	0.581210800271958	0.837578399456085	0.418789199728042
43	0.592137786117669	0.815724427764661	0.407862213882331
44	0.577298507078165	0.84540298584367	0.422701492921835
45	0.516712025041128	0.966575949917744	0.483287974958872
46	0.757418700150713	0.485162599698574	0.242581299849287
47	0.707647443068747	0.584705113862506	0.292352556931253
48	0.836404515097618	0.327190969804764	0.163595484902382
49	0.81008784232423	0.379824315351539	0.189912157675770
50	0.737687842590025	0.524624314819951	0.262312157409975
51	0.709836071608148	0.580327856783704	0.290163928391852
52	0.632009155522194	0.735981688955611	0.367990844477806
53	0.606073591614996	0.787852816770007	0.393926408385004
54	0.489025237064886	0.978050474129772	0.510974762935114
55	0.5483606679293	0.9032786641414	0.4516393320707
56	0.640130774576604	0.719738450846792	0.359869225423396

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	1	0.0192307692307692	OK