Multiple Linear Regression - Estimated Regression Equation
S&P[t] = + 3228.51499047869 -0.0358664385477845month[t] -0.143337992426391Bel20[t] -0.134850414826532Nikkei225[t] + 0.00307994776017903DAX[t] -0.047311126005587HangSeng[t] + 37.6855360142645t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)3228.514990478691240.6657842.60220.0114590.005729
month-0.03586643854778450.156162-0.22970.8190660.409533
Bel20-0.1433379924263910.132368-1.08290.2828660.141433
Nikkei225-0.1348504148265320.11438-1.1790.2427070.121353
DAX0.003079947760179030.1215810.02530.9798670.489934
HangSeng-0.0473111260055870.073961-0.63970.5246320.262316
t37.685536014264522.6326311.66510.1007070.050353


Multiple Linear Regression - Regression Statistics
Multiple R0.489007957167126
R-squared0.239128782172766
Adjusted R-squared0.168894515911791
F-TEST (value)3.40473097966475
F-TEST (DF numerator)6
F-TEST (DF denominator)65
p-value0.0055410281396141
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1776.52131573894
Sum Squared Residuals205141819.042863


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11221.53431.437685358542790.092314641458
21180.55536.320208344990644.22979165501
31183.26643.865187806063539.394812193937
41141.2705.661761380223435.538238619777
51049.33921.12510668435128.204893315649
61101.6831.434987481996270.165012518003
71030.71950.81353642098679.8964635790141
81089.41944.101998815085145.308001184915
91186.69734.076460210492452.613539789508
101169.43769.093191742964400.336808257036
111104.49957.64523432911146.844765670891
121073.871015.1648820679958.7051179320082
131115.1959.718499674154155.381500325846
141095.631169.47439265095-73.8443926509476
151036.191136.65893914294-100.468939142935
161057.081193.84720545716-136.767205457156
171020.621257.60772025170-236.987720251705
18987.481302.39517566745-314.915175667451
19919.321503.53278904737-584.212789047373
20919.141581.10521420105-661.96521420105
21872.811836.06677518619-963.256775186193
22797.872064.51505423660-1266.64505423660
23735.092179.27914021851-1444.18914021851
24825.882057.05807130337-1231.17807130337
25903.251860.12699367616-956.876993676163
26896.241988.16619628181-1091.92619628181
27968.751989.41937368322-1020.66937368322
281166.361392.86288640964-226.502886409641
291282.831009.41979689359273.410203106413
301267.38966.33586865462301.04413134538
3112801014.14079497181265.859205028189
321400.38828.345979021076572.034020978925
331385.59815.581446178638570.008553821362
341322.71163.10294313434159.597056865660
351330.63946.007749270379384.622250729622
361378.551043.61537864604334.934621353959
371468.36643.54884054745824.81115945255
381481.14586.244194765567894.895805234433
391549.38317.1865155706511232.19348442935
401526.75538.746774195778988.003225804222
411473.99766.324436735117707.665563264883
421455.27770.532269611176684.737730388824
431503.35780.279199837335723.070800162665
441530.62888.487258159224642.132741840776
451482.371010.23016828862472.139831711376
461420.861121.73278069811299.127219301894
471406.821122.64159514045284.178404859553
481438.241179.37875580835258.861244191652
491418.31267.65069027816150.649309721841
501400.631496.08930721538-95.4593072153769
511377.941560.18997859837-182.249978598374
521335.851674.65899322706-338.80899322706
531303.821683.56908945558-379.749089455585
541276.661832.71423432557-556.054234325567
551270.21907.67880852277-637.47880852277
561270.091983.48114117953-713.39114117953
571310.611818.13786279297-507.527862792975
581294.871897.79033413742-602.920334137421
591280.662063.41873666159-782.758736661586
601280.082039.40993597971-759.329935979712
611248.292204.98695434495-956.696954344946
621249.482405.71411073895-1156.23411073895
631207.012655.86203696329-1448.85203696329
641228.812657.7412324134-1428.9312324134
651220.332877.87432236572-1657.54432236572
661234.182973.83028815660-1739.65028815660
671191.333088.09430769680-1896.76430769680
681191.53615.59113603547-2424.09113603547
6911008.93256.002145085837752.89785491417
704348.772958.472708629901390.29729137010
7114195.355422.484815568628772.86518443138
72124623.84941576698-4611.84941576698


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
104.87468363857662e-079.74936727715325e-070.999999512531636
113.12091892860340e-096.24183785720681e-090.999999996879081
122.99971876783194e-115.99943753566387e-110.999999999970003
131.62094173540876e-133.24188347081751e-130.999999999999838
145.75651669508389e-141.15130333901678e-130.999999999999942
156.95481730455344e-161.39096346091069e-151
166.27756798343442e-181.25551359668688e-171
175.40960239270589e-201.08192047854118e-191
184.28573071765793e-228.57146143531587e-221
198.1715484372114e-241.63430968744228e-231
207.23659460762464e-261.44731892152493e-251
218.71493621517294e-281.74298724303459e-271
221.24851151672813e-292.49702303345627e-291
231.11317502942603e-302.22635005885206e-301
241.04128761791383e-312.08257523582766e-311
252.51048493904311e-335.02096987808621e-331
264.02852875411891e-358.05705750823781e-351
272.46562233873463e-364.93124467746927e-361
286.47323413989503e-381.29464682797901e-371
293.43385083210430e-396.86770166420861e-391
303.57357031749248e-407.14714063498496e-401
318.10852722717705e-421.62170544543541e-411
321.35567544327289e-432.71135088654577e-431
332.50852148748147e-455.01704297496294e-451
342.29544544152612e-464.59089088305224e-461
351.34532349848433e-462.69064699696866e-461
361.4274517182839e-452.8549034365678e-451
371.72360626794935e-453.44721253589870e-451
381.22997231242873e-462.45994462485747e-461
391.02329088226278e-462.04658176452555e-461
404.66330295234030e-489.32660590468059e-481
419.51267085054787e-501.90253417010957e-491
422.09668822335721e-514.19337644671442e-511
436.36821614616219e-531.27364322923244e-521
445.32825222291956e-541.06565044458391e-531
452.23656191293479e-554.47312382586958e-551
466.63685763042185e-571.32737152608437e-561
471.25593080939809e-582.51186161879618e-581
481.21723645619164e-592.43447291238329e-591
495.08365303499555e-601.01673060699911e-591
501.48883566250658e-592.97767132501317e-591
512.70242693629776e-605.40485387259551e-601
523.1506289605069e-616.3012579210138e-611
539.07602962651386e-631.81520592530277e-621
542.74776642812588e-635.49553285625175e-631
553.28756691686456e-626.57513383372912e-621
561.99551809903069e-523.99103619806137e-521
575.62934474285537e-531.12586894857107e-521
582.34938268061243e-544.69876536122485e-541
592.16774599118958e-544.33549198237915e-541
602.09672681768252e-524.19345363536504e-521
614.53481723576286e-499.06963447152572e-491
627.50166439480947e-461.50033287896189e-451


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level531NOK
5% type I error level531NOK
10% type I error level531NOK