Multiple Linear Regression - Estimated Regression Equation

Y[t] = + 20.55 -1.39000000000000X[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)	20.55	0.390561	52.6166	0	0
X	-1.39000000000000	0.676472	-2.0548	0.044414	0.022207

Multiple Linear Regression - Regression Statistics
Multiple R	0.260491074856844
R-squared	0.0678556000800737
Adjusted R-squared	0.0517841449090405
F-TEST (value)	4.22211923923198
F-TEST (DF numerator)	1
F-TEST (DF denominator)	58
p-value	0.0444142895959601
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	2.47012494448749
Sum Squared Residuals	353.888000000001

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	Interpolation Forecast	Residuals Prediction Error
1	25.6	20.5499999999999	5.05000000000007
2	23.7	20.55	3.15000000000000
3	22	20.55	1.45
4	21.3	20.55	0.75
5	20.7	20.55	0.149999999999998
6	20.4	20.55	-0.150000000000003
7	20.3	20.55	-0.250000000000001
8	20.4	20.55	-0.150000000000003
9	19.8	20.55	-0.750000000000001
10	19.5	20.55	-1.05000000000000
11	23.1	20.55	2.55
12	23.5	20.55	2.95
13	23.5	20.55	2.95
14	22.9	20.55	2.35000000000000
15	21.9	20.55	1.35000000000000
16	21.5	20.55	0.949999999999999
17	20.5	20.55	-0.0500000000000013
18	20.2	20.55	-0.350000000000002
19	19.4	20.55	-1.15000000000000
20	19.2	20.55	-1.35000000000000
21	18.8	20.55	-1.75
22	18.8	20.55	-1.75
23	22.6	20.55	2.05
24	23.3	20.55	2.75
25	23	20.55	2.45
26	21.4	20.55	0.849999999999997
27	19.9	20.55	-0.650000000000003
28	18.8	20.55	-1.75
29	18.6	20.55	-1.95
30	18.4	20.55	-2.15000000000000
31	18.6	20.55	-1.95
32	19.9	20.55	-0.650000000000003
33	19.2	20.55	-1.35000000000000
34	18.4	20.55	-2.15000000000000
35	21.1	20.55	0.55
36	20.5	20.55	-0.0500000000000013
37	19.1	20.55	-1.45
38	18.1	20.55	-2.45
39	17	20.55	-3.55
40	17.1	20.55	-3.45
41	17.4	19.16	-1.76
42	16.8	19.16	-2.36
43	15.3	19.16	-3.86
44	14.3	19.16	-4.86
45	13.4	19.16	-5.76
46	15.3	19.16	-3.86
47	22.1	19.16	2.94
48	23.7	19.16	4.54
49	22.2	19.16	3.04
50	19.5	19.16	0.34
51	16.6	19.16	-2.56
52	17.3	19.16	-1.86
53	19.8	19.16	0.640000000000001
54	21.2	19.16	2.04
55	21.5	19.16	2.34
56	20.6	19.16	1.44
57	19.1	19.16	-0.0599999999999986
58	19.6	19.16	0.440000000000001
59	23.5	19.16	4.34
60	24	19.16	4.84

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
5	0.550550632381411	0.898898735237178	0.449449367618589
6	0.491620940680111	0.983241881360223	0.508379059319889
7	0.421563703990961	0.843127407981922	0.578436296009039
8	0.338095116792878	0.676190233585756	0.661904883207122
9	0.292452149325845	0.584904298651691	0.707547850674155
10	0.258312812959611	0.516625625919222	0.741687187040389
11	0.223896359803290	0.447792719606579	0.77610364019671
12	0.212176531785646	0.424353063571293	0.787823468214354
13	0.198704602402846	0.397409204805692	0.801295397597154
14	0.161409928663144	0.322819857326288	0.838590071336856
15	0.114728768661619	0.229457537323239	0.88527123133838
16	0.0791835762820856	0.158367152564171	0.920816423717914
17	0.0595269909251739	0.119053981850348	0.940473009074826
18	0.0465307419901775	0.093061483980355	0.953469258009823
19	0.0452655481762238	0.0905310963524476	0.954734451823776
20	0.0445515897626246	0.0891031795252492	0.955448410237375
21	0.0479450681879375	0.095890136375875	0.952054931812063
22	0.0481020465801534	0.0962040931603068	0.951897953419847
23	0.0414400864009375	0.082880172801875	0.958559913599063
24	0.0471646418739981	0.0943292837479962	0.952835358126002
25	0.049961099366754	0.099922198733508	0.950038900633246
26	0.0374834853387862	0.0749669706775724	0.962516514661214
27	0.0288370432068362	0.0576740864136725	0.971162956793164
28	0.0281538593374076	0.0563077186748152	0.971846140662592
29	0.0278412607745475	0.055682521549095	0.972158739225452
30	0.0278946715343626	0.0557893430687253	0.972105328465637
31	0.0250316803488206	0.0500633606976412	0.97496831965118
32	0.0173594603777824	0.0347189207555648	0.982640539622218
33	0.0128255145434331	0.0256510290868662	0.987174485456567
34	0.0111658967202548	0.0223317934405095	0.988834103279745
35	0.00821084239954392	0.0164216847990878	0.991789157600456
36	0.00591375112570793	0.0118275022514159	0.994086248874292
37	0.00441207589121028	0.00882415178242056	0.99558792410879
38	0.0039460390483017	0.0078920780966034	0.996053960951698
39	0.00476291986913538	0.00952583973827076	0.995237080130865
40	0.00499077360163284	0.00998154720326568	0.995009226398367
41	0.00314931753327100	0.00629863506654200	0.996850682466729
42	0.00223319956213706	0.00446639912427413	0.997766800437863
43	0.00292795963116611	0.00585591926233222	0.997072040368834
44	0.00804358708321273	0.0160871741664255	0.991956412916787
45	0.0596046389833684	0.119209277966737	0.940395361016632
46	0.168980876766466	0.337961753532932	0.831019123233534
47	0.254201242860869	0.508402485721739	0.74579875713913
48	0.450509480745305	0.90101896149061	0.549490519254695
49	0.462015214637105	0.92403042927421	0.537984785362895
50	0.37198205049435	0.7439641009887	0.62801794950565
51	0.512891016395464	0.974217967209071	0.487108983604536
52	0.670607159440637	0.658785681118727	0.329392840559363
53	0.598276887041172	0.803446225917656	0.401723112958828
54	0.465940098504739	0.931880197009479	0.534059901495261
55	0.321629164976322	0.643258329952645	0.678370835023678

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description	# significant tests	% significant tests	OK/NOK
1% type I error level	7	0.137254901960784	NOK
5% type I error level	13	0.254901960784314	NOK
10% type I error level	27	0.529411764705882	NOK