Multiple Linear Regression - Estimated Regression Equation

Y[t] = + 105.760784313725 -5.55078431372549X[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)	105.760784313725	1.274012	83.0139	0	0
X	-5.55078431372549	3.146578	-1.7641	0.082897	0.041448

Multiple Linear Regression - Regression Statistics
Multiple R	0.223835121573278
R-squared	0.0501021616497242
Adjusted R-squared	0.0340021982878552
F-TEST (value)	3.11194258791827
F-TEST (DF numerator)	1
F-TEST (DF denominator)	59
p-value	0.082896958868956
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	9.09826819862025
Sum Squared Residuals	4883.93056862745

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	Interpolation Forecast	Residuals Prediction Error
1	111.4	105.760784313726	5.63921568627445
2	87.4	105.760784313725	-18.3607843137255
3	96.8	105.760784313725	-8.9607843137255
4	114.1	105.760784313725	8.3392156862745
5	110.3	105.760784313725	4.53921568627451
6	103.9	105.760784313725	-1.86078431372548
7	101.6	105.760784313725	-4.16078431372549
8	94.6	105.760784313725	-11.1607843137255
9	95.9	105.760784313725	-9.86078431372549
10	104.7	105.760784313725	-1.06078431372549
11	102.8	105.760784313725	-2.96078431372549
12	98.1	105.760784313725	-7.6607843137255
13	113.9	105.760784313725	8.13921568627451
14	80.9	105.760784313725	-24.8607843137255
15	95.7	105.760784313725	-10.0607843137255
16	113.2	105.760784313725	7.43921568627451
17	105.9	105.760784313725	0.139215686274516
18	108.8	105.760784313725	3.03921568627451
19	102.3	105.760784313725	-3.46078431372549
20	99	105.760784313725	-6.76078431372549
21	100.7	105.760784313725	-5.06078431372549
22	115.5	105.760784313725	9.7392156862745
23	100.7	105.760784313725	-5.06078431372549
24	109.9	105.760784313725	4.13921568627452
25	114.6	105.760784313725	8.8392156862745
26	85.4	105.760784313725	-20.3607843137255
27	100.5	105.760784313725	-5.26078431372549
28	114.8	105.760784313725	9.0392156862745
29	116.5	105.760784313725	10.7392156862745
30	112.9	105.760784313725	7.13921568627452
31	102	105.760784313725	-3.76078431372549
32	106	105.760784313725	0.239215686274511
33	105.3	105.760784313725	-0.460784313725492
34	118.8	105.760784313725	13.0392156862745
35	106.1	105.760784313725	0.339215686274505
36	109.3	105.760784313725	3.53921568627451
37	117.2	105.760784313725	11.4392156862745
38	92.5	105.760784313725	-13.2607843137255
39	104.2	105.760784313725	-1.56078431372549
40	112.5	105.760784313725	6.73921568627451
41	122.4	105.760784313725	16.6392156862745
42	113.3	105.760784313725	7.5392156862745
43	100	105.760784313725	-5.76078431372549
44	110.7	105.760784313725	4.93921568627451
45	112.8	105.760784313725	7.0392156862745
46	109.8	105.760784313725	4.03921568627451
47	117.3	105.760784313725	11.5392156862745
48	109.1	105.760784313725	3.33921568627451
49	115.9	105.760784313725	10.1392156862745
50	96	105.760784313725	-9.7607843137255
51	99.8	105.760784313725	-5.96078431372549
52	116.8	100.21	16.59
53	115.7	100.21	15.49
54	99.4	100.21	-0.809999999999993
55	94.3	100.21	-5.91
56	91	100.21	-9.21
57	93.2	100.21	-7.01
58	103.1	100.21	2.89000000000000
59	94.1	100.21	-6.11
60	91.8	100.21	-8.41
61	102.7	100.21	2.49000000000000

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
5	0.897985916817082	0.204028166365837	0.102014083182919
6	0.812032224770843	0.375935550458315	0.187967775229157
7	0.71046956695774	0.579060866084521	0.289530433042260
8	0.688308414583284	0.623383170833433	0.311691585416716
9	0.635145011639991	0.729709976720017	0.364854988360008
10	0.532774340528160	0.934451318943681	0.467225659471840
11	0.426787178947596	0.853574357895192	0.573212821052404
12	0.355354847599449	0.710709695198897	0.644645152400551
13	0.406374785845953	0.812749571691906	0.593625214154047
14	0.814679088304675	0.370641823390649	0.185320911695325
15	0.795905674279264	0.408188651441473	0.204094325720736
16	0.812210626987503	0.375578746024993	0.187789373012497
17	0.759283173630326	0.481433652739348	0.240716826369674
18	0.715894415357842	0.568211169284315	0.284105584642158
19	0.650561080785194	0.698877838429611	0.349438919214806
20	0.604508008339214	0.790983983321571	0.395491991660786
21	0.545381748384415	0.90923650323117	0.454618251615585
22	0.59440575504533	0.81118848990934	0.40559424495467
23	0.539226515043885	0.921546969912229	0.460773484956115
24	0.493320361954427	0.986640723908854	0.506679638045573
25	0.507592019411658	0.984815961176684	0.492407980588342
26	0.788881036464537	0.422237927070926	0.211118963535463
27	0.760886549579255	0.47822690084149	0.239113450420745
28	0.76683473940439	0.466330521191219	0.233165260595609
29	0.789687788514404	0.420624422971193	0.210312211485596
30	0.766737921126365	0.466524157747269	0.233262078873635
31	0.726253378622552	0.547493242754896	0.273746621377448
32	0.665815099453407	0.668369801093186	0.334184900546593
33	0.602658233856291	0.794683532287419	0.397341766143709
34	0.659565906503109	0.680868186993783	0.340434093496891
35	0.591789663760477	0.816420672479046	0.408210336239523
36	0.524341186979242	0.951317626041516	0.475658813020758
37	0.544376131919863	0.911247736160274	0.455623868080137
38	0.674717801637967	0.650564396724066	0.325282198362033
39	0.619589557635581	0.760820884728837	0.380410442364419
40	0.564942966298566	0.87011406740287	0.435057033701434
41	0.688510570894359	0.622978858211282	0.311489429105641
42	0.645858148712254	0.708283702575492	0.354141851287746
43	0.623056804190788	0.753886391618424	0.376943195809212
44	0.548872788269006	0.902254423461988	0.451127211730994
45	0.490039785805799	0.980079571611598	0.509960214194201
46	0.408688850683805	0.817377701367609	0.591311149316196
47	0.440487810966049	0.880975621932098	0.559512189033951
48	0.367041712276813	0.734083424553626	0.632958287723187
49	0.480290669037475	0.960581338074949	0.519709330962525
50	0.404672681818399	0.809345363636798	0.595327318181601
51	0.31135091002244	0.62270182004488	0.68864908997756
52	0.52993364509276	0.94013270981448	0.47006635490724
53	0.91192361667177	0.176152766656460	0.0880763833282299
54	0.866836544616279	0.266326910767443	0.133163455383721
55	0.776845441772916	0.446309116454169	0.223154558227084
56	0.71003141398658	0.579937172026841	0.289968586013421

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