Multiple Linear Regression - Estimated Regression Equation

Y[t] = + 125.725 -18.625X[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)	125.725	2.574558	48.8336	0	0
X	-18.625	4.459266	-4.1767	0.000101	5e-05

Multiple Linear Regression - Regression Statistics
Multiple R	0.48085956938187
R-squared	0.231225925466118
Adjusted R-squared	0.21797120004312
F-TEST (value)	17.4447918072239
F-TEST (DF numerator)	1
F-TEST (DF denominator)	58
p-value	0.000100699599694165
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	16.2829374415103
Sum Squared Residuals	15377.7750000000

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	Interpolation Forecast	Residuals Prediction Error
1	161	125.725000000000	35.2750000000002
2	149	125.725	23.275
3	139	125.725	13.275
4	135	125.725	9.275
5	130	125.725	4.27499999999999
6	127	125.725	1.27499999999999
7	122	125.725	-3.72500000000001
8	117	125.725	-8.72500000000001
9	112	125.725	-13.725
10	113	125.725	-12.725
11	149	125.725	23.275
12	157	125.725	31.275
13	157	125.725	31.275
14	147	125.725	21.275
15	137	125.725	11.275
16	132	125.725	6.27499999999999
17	125	125.725	-0.725000000000009
18	123	125.725	-2.72500000000001
19	117	125.725	-8.72500000000001
20	114	125.725	-11.725
21	111	125.725	-14.725
22	112	125.725	-13.725
23	144	125.725	18.275
24	150	125.725	24.275
25	149	125.725	23.275
26	134	125.725	8.27499999999999
27	123	125.725	-2.72500000000001
28	116	125.725	-9.725
29	117	125.725	-8.72500000000001
30	111	125.725	-14.725
31	105	125.725	-20.725
32	102	125.725	-23.725
33	95	125.725	-30.725
34	93	125.725	-32.725
35	124	125.725	-1.72500000000001
36	130	125.725	4.27499999999999
37	124	125.725	-1.72500000000001
38	115	125.725	-10.725
39	106	125.725	-19.725
40	105	125.725	-20.725
41	105	107.1	-2.1
42	101	107.1	-6.1
43	95	107.1	-12.1
44	93	107.1	-14.1
45	84	107.1	-23.1
46	87	107.1	-20.1
47	116	107.1	8.9
48	120	107.1	12.9
49	117	107.1	9.9
50	109	107.1	1.9
51	105	107.1	-2.1
52	107	107.1	-0.100000000000001
53	109	107.1	1.9
54	109	107.1	1.9
55	108	107.1	0.899999999999999
56	107	107.1	-0.100000000000001
57	99	107.1	-8.1
58	103	107.1	-4.1
59	131	107.1	23.9
60	137	107.1	29.9

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
5	0.511829529227915	0.97634094154417	0.488170470772085
6	0.476296587816987	0.952593175633974	0.523703412183013
7	0.483729337383504	0.967458674767008	0.516270662616496
8	0.52417975893145	0.95164048213710	0.47582024106855
9	0.591621547828597	0.816756904342805	0.408378452171403
10	0.600054491028826	0.799891017942348	0.399945508971174
11	0.627907316579567	0.744185366840866	0.372092683420433
12	0.752869028930855	0.494261942138291	0.247130971069146
13	0.846037274020505	0.307925451958989	0.153962725979495
14	0.849148430724734	0.301703138550531	0.150851569275266
15	0.81314636411251	0.373707271774980	0.186853635887490
16	0.767525195300659	0.464949609398682	0.232474804699341
17	0.727212594417143	0.545574811165714	0.272787405582857
18	0.689035611670808	0.621928776658384	0.310964388329192
19	0.679138341694106	0.641723316611789	0.320861658305894
20	0.682682180360437	0.634635639279127	0.317317819639563
21	0.700368679972118	0.599262640055763	0.299631320027882
22	0.69888242038771	0.602235159224578	0.301117579612289
23	0.727770158581929	0.544459682836142	0.272229841418071
24	0.831211760053533	0.337576479892935	0.168788239946467
25	0.9193542107624	0.161291578475199	0.0806457892375993
26	0.925327211885033	0.149345576229933	0.0746727881149666
27	0.913517788920555	0.172964422158890	0.0864822110794448
28	0.902116781703182	0.195766436593636	0.0978832182968181
29	0.88717728648309	0.225645427033822	0.112822713516911
30	0.879066413064449	0.241867173871102	0.120933586935551
31	0.887303790132403	0.225392419735194	0.112696209867597
32	0.902764970176972	0.194470059646056	0.0972350298230282
33	0.9437399684935	0.112520063013001	0.0562600315065003
34	0.976199530811424	0.0476009383771512	0.0238004691885756
35	0.96537354241930	0.0692529151614019	0.0346264575807009
36	0.96234625426679	0.075307491466421	0.0376537457332105
37	0.955287436677354	0.0894251266452917	0.0447125633226458
38	0.941044817280156	0.117910365439688	0.058955182719844
39	0.924826564753593	0.150346870492813	0.0751734352464067
40	0.904802164389585	0.190395671220829	0.0951978356104145
41	0.863687957663498	0.272624084673003	0.136312042336502
42	0.81808636195552	0.363827276088959	0.181913638044480
43	0.7913682503731	0.417263499253799	0.208631749626900
44	0.780739560360353	0.438520879279293	0.219260439639647
45	0.873324211520627	0.253351576958746	0.126675788479373
46	0.94047665864313	0.119046682713740	0.0595233413568698
47	0.914711720790866	0.170576558418267	0.0852882792091337
48	0.891787647238261	0.216424705523477	0.108212352761739
49	0.846991644129237	0.306016711741526	0.153008355870763
50	0.771611082588871	0.456777834822258	0.228388917411129
51	0.689923429947252	0.620153140105496	0.310076570052748
52	0.584135638369937	0.831728723260125	0.415864361630063
53	0.457981564170222	0.915963128340444	0.542018435829778
54	0.328344463221422	0.656688926442844	0.671655536778578
55	0.212451491574778	0.424902983149557	0.787548508425222

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	1	0.0196078431372549	OK
10% type I error level	4	0.0784313725490196	OK