Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 0.252734874848809 -0.80413602302362X[t] + 0.865561772779888Y1[t] + 0.00859069835627082t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)0.2527348748488090.0452195.58911e-060
X-0.804136023023620.070863-11.347800
Y10.8655617727798880.01875746.146800
t0.008590698356270820.0014655.864600


Multiple Linear Regression - Regression Statistics
Multiple R0.996265720835123
R-squared0.992545386511127
Adjusted R-squared0.992138771229916
F-TEST (value)2440.99381497532
F-TEST (DF numerator)3
F-TEST (DF denominator)55
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.101479087661148
Sum Squared Residuals0.566390287789648


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
12.092.087660913770650.00233908622935031
22.052.07894037667132-0.0289403766713187
32.082.052908604116390.0270913958836053
42.062.08746615565606-0.0274661556560608
52.062.07874561855673-0.0187456185567337
62.082.08733631691300-0.00733631691300454
72.072.11323825072487-0.0432382507248734
82.062.11317333135334-0.0531733313533449
92.072.11310841198182-0.0431084119818172
102.062.13035472806589-0.0703547280658865
112.092.13028980869436-0.0402898086943589
122.072.16484736023403-0.094847360234026
132.092.1561268231347-0.0661268231346992
142.282.182028756946570.0979712430534322
152.332.35507619213102-0.0250761921310170
162.352.40694497912628-0.0569449791262825
172.522.432846912938150.0871530870618489
182.632.588583112667000.0414168873329971
192.582.69238560602906-0.112385606029061
202.72.657698215746340.0423017842536624
212.812.770156326836200.0398436731638048
222.972.873958820198250.0960411798017466
233.043.021039402199310.0189605978006934
243.283.090219424650170.189780575349830
253.333.306544948473610.0234550515263869
263.53.358413735468880.141586264531121
273.563.514149935197730.0458500648022698
283.573.57467433992079-0.00467433992079452
293.693.591920656004860.0980793439951361
303.823.704378767094720.115621232905279
313.793.82549249591238-0.0354924959123775
323.963.808116341085250.151883658914748
334.063.96385254081410.096147459185896
344.054.05899941644836-0.00899941644836286
354.034.05893449707683-0.0289344970768345
363.944.05021395997751-0.110213959977508
374.023.980904098783590.0390959012164106
383.884.05873973896225-0.178739738962251
394.023.946151789129340.0738482108706624
404.034.07592113567479-0.0459211356747917
414.094.09316745175886-0.00316745175886247
423.994.15369185648193-0.163691856481926
434.014.07572637756021-0.0657263775602087
444.014.10162831137208-0.0916283113720769
454.194.110219009728350.0797809902716529
464.34.2746108271850.0253891728150011
474.274.37841332054706-0.108413320547057
483.823.556901142696310.26309885730369
493.153.17598904330163-0.0259890433016315
502.492.60465335389538-0.114653353895377
511.812.04197328221692-0.231973282216922
521.261.46198197508287-0.201981975082869
531.060.9945136984102020.0654863015897982
540.840.8299920422104950.0100079577895047
550.780.648159150555190.131840849444809
560.70.6048161425446680.0951838574553317
570.360.544161899078548-0.184161899078548
580.350.2584615946896570.0915384053103433
590.360.2583966753181290.101603324681871


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
70.008457046097287740.01691409219457550.991542953902712
80.001320417428285320.002640834856570640.998679582571715
90.0001915965928425840.0003831931856851680.999808403407157
102.56453403692804e-055.12906807385607e-050.99997435465963
111.04763752144645e-052.09527504289289e-050.999989523624786
121.56333470366407e-063.12666940732814e-060.999998436665296
134.05246149306026e-078.10492298612051e-070.99999959475385
140.008875198452222650.01775039690444530.991124801547777
150.004162324995811360.008324649991622710.995837675004189
160.002238197331573850.00447639466314770.997761802668426
170.004119872104704330.008239744209408650.995880127895296
180.001862754797562030.003725509595124050.998137245202438
190.007906862110788960.01581372422157790.992093137889211
200.005556464167432980.01111292833486600.994443535832567
210.003257679598819750.006515359197639510.99674232040118
220.002377395881431470.004754791762862940.997622604118569
230.001424306122847830.002848612245695660.998575693877152
240.002773193213484770.005546386426969550.997226806786515
250.002564288568061640.005128577136123290.997435711431938
260.001595576000838580.003191152001677170.998404423999161
270.001149315973477460.002298631946954930.998850684026523
280.001296827304361690.002593654608723370.998703172695638
290.0006706628749552070.001341325749910410.999329337125045
300.0003813978355941820.0007627956711883640.999618602164406
310.0006700405467436140.001340081093487230.999329959453256
320.0007019020237747880.001403804047549580.999298097976225
330.0005159117702827850.001031823540565570.999484088229717
340.0005565673154923520.001113134630984700.999443432684508
350.0005993111402373350.001198622280474670.999400688859763
360.001568671466715540.003137342933431080.998431328533284
370.001093682643940950.00218736528788190.99890631735606
380.005410648602524080.01082129720504820.994589351397476
390.005015799297418310.01003159859483660.994984200702582
400.003564849848226280.007129699696452550.996435150151774
410.002693416553987260.005386833107974530.997306583446013
420.004122409756397140.008244819512794280.995877590243603
430.002394642510055160.004789285020110320.997605357489945
440.001478672840870310.002957345681740630.99852132715913
450.001556700646454380.003113401292908770.998443299353546
460.001202257567495050.002404515134990090.998797742432505
470.0007210547085883490.001442109417176700.999278945291412
480.01441396115043660.02882792230087320.985586038849563
490.04576656770246910.09153313540493830.95423343229753
500.1432222074505010.2864444149010020.856777792549499
510.2126443949082500.4252887898165010.78735560509175
520.1447951090413670.2895902180827330.855204890958633


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level350.760869565217391NOK
5% type I error level420.91304347826087NOK
10% type I error level430.934782608695652NOK