Multiple Linear Regression - Estimated Regression Equation
S.[t] = + 5.29372655439379 + 0.400869981642590E.S.[t] -0.35576928193259M1[t] -2.27843403304333M2[t] + 1.52156596695666M3[t] + 0.838782025700374M4[t] + 1.03878202570037M5[t] -0.241391970628143M6[t] -3.32243594859925M7[t] -0.71982600367148M8[t] + 0.6M9[t] -0.079304014685929M10[t] -1.36121797429962M11[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)5.293726554393793.3252941.5920.1179590.05898
E.S.0.4008699816425900.0760015.27453e-062e-06
M1-0.355769281932593.264875-0.1090.9136820.456841
M2-2.278434033043333.405549-0.6690.5066780.253339
M31.521565966956663.4055490.44680.6570360.328518
M40.8387820257003743.4044630.24640.8064410.40322
M51.038782025700373.4044630.30510.7615910.380796
M6-0.2413919706281433.404972-0.07090.9437770.471888
M7-3.322435948599253.409447-0.97450.3347040.167352
M8-0.719826003671483.402834-0.21150.8333640.416682
M90.63.40280.17630.860780.43039
M10-0.0793040146859293.403343-0.02330.9815060.490753
M11-1.361217974299623.404463-0.39980.6910530.345526


Multiple Linear Regression - Regression Statistics
Multiple R0.62965823162227
R-squared0.396469488649684
Adjusted R-squared0.245586860812105
F-TEST (value)2.62766823677324
F-TEST (DF numerator)12
F-TEST (DF denominator)48
p-value0.00881546071620987
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation5.38029882265957
Sum Squared Residuals1389.48554021337


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
12418.16666666666675.83333333333329
22216.64487189719855.35512810280152
32521.24661186048373.75338813951632
42420.56382791922743.43617208077261
52921.56556788251267.43443211748743
62621.88887381275444.11112618724559
72616.00173996328529.99826003671482
82114.59565009178706.40434990821295
92315.51460611381597.48539388618406
102214.03356213584487.96643786415516
112114.75599808444416.24400191555591
121612.10851624231783.89148375768218
131916.96405672173892.03594327826111
141615.04139197062810.958608029371852
152520.44487189719854.5551281028015
162720.964697900876.03530209913002
172320.76382791922742.23617208077261
182218.28104397797113.71895602202889
192315.27.8
202017.80260994492782.19739005507223
212420.72591587516963.27408412483039
222321.24922180541141.75077819458855
232017.96295793758482.03704206241520
242120.12591587516960.874084124830393
252222.1753664830925-0.175366483092550
261719.8518317503392-2.85183175033922
272120.04400191555590.95599808444409
281921.7664378641552-2.76643786415516
292322.36730784579780.63269215420225
302219.88452390454152.11547609545854
311519.6095697980685-4.60956979806848
322321.41043977971111.58956022028893
332123.1311357650251-2.13113576502514
341821.2492218054114-3.24922180541145
351815.95860802937192.04139197062814
361817.31982600367150.680173996328518
371817.36492670338150.635073296618521
381010.2309521909171-0.230952190917076
391316.4361720807726-3.43617208077261
401014.9516481762311-4.95164817623114
41916.7551281028015-7.7551281028015
42916.2766940697582-7.27669406975816
43611.1913001835741-5.19130018357411
441111.3886902386463-0.388690238646338
45910.7041663341049-1.70416633410488
46108.822252374491181.17774762550882
47911.5490382313034-2.54903823130338
481613.71199616888822.28800383111182
491012.1536169420278-2.15361694202782
50710.2309521909171-3.23095219091708
51712.8283422459893-5.8283422459893
521415.7533881395163-1.75338813951632
531113.5481682496608-2.54816824966079
541012.6688642349749-2.66886423497486
55613.9973900550722-7.99739005507223
56817.8026099449278-9.80260994492777
571319.9241759118844-6.92417591188443
581219.6457418788411-7.64574187884109
591522.7733977172959-7.77339771729588
601623.7337457099529-7.73374570995291
611622.1753664830926-6.17536648309255


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.03434451180194510.06868902360389010.965655488198055
170.02601928895786560.05203857791573110.973980711042134
180.06380902925598830.1276180585119770.936190970744012
190.05456972982888990.1091394596577800.94543027017111
200.1020104603589280.2040209207178560.897989539641072
210.1016054766984400.2032109533968800.89839452330156
220.08434114215101610.1686822843020320.915658857848984
230.06293880886070040.1258776177214010.9370611911393
240.03904100900776310.07808201801552620.960958990992237
250.02445450869432070.04890901738864140.97554549130568
260.02085731487295930.04171462974591870.97914268512704
270.02643451999604550.05286903999209110.973565480003954
280.05828302341726770.1165660468345350.941716976582732
290.07452090974531360.1490418194906270.925479090254686
300.1073973162011220.2147946324022440.892602683798878
310.3389427787462470.6778855574924930.661057221253753
320.5523266978459220.8953466043081560.447673302154078
330.6649910825293480.6700178349413040.335008917470652
340.7221917954810390.5556164090379220.277808204518961
350.8280179221518750.3439641556962510.171982077848125
360.7827011800130680.4345976399738650.217298819986932
370.852316206767470.2953675864650620.147683793232531
380.8833612890612620.2332774218774770.116638710938738
390.9519566534991430.09608669300171310.0480433465008566
400.9727649138076460.05447017238470890.0272350861923545
410.9803478724620710.03930425507585820.0196521275379291
420.9741907271304120.05161854573917620.0258092728695881
430.9515793822401860.09684123551962790.0484206177598139
440.9651219693595130.06975606128097350.0348780306404868
450.9038993326751340.1922013346497320.0961006673248658


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level30.1NOK
10% type I error level120.4NOK