Multiple Linear Regression - Estimated Regression Equation
Y[t] = -1.86988843332436 + 1.09005922831809X[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-1.869888433324360.704185-2.65540.0098010.0049
X1.090059228318090.03865628.198700


Multiple Linear Regression - Regression Statistics
Multiple R0.958692162093623
R-squared0.919090661659746
Adjusted R-squared0.917934813969171
F-TEST (value)795.16589352917
F-TEST (DF numerator)1
F-TEST (DF denominator)70
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.809424302599723
Sum Squared Residuals45.8617391147334


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11816.00708291109231.9929170889077
219.617.53316583073762.06683416926241
323.322.43843235816900.861567641831023
423.722.98346197232800.716538027671978
520.318.07819544489662.22180455510337
622.822.54743828100080.252561718999217
724.324.18252712347790.117472876522087
821.521.34837312985090.151626870149109
923.523.20147381799160.298526182008362
1022.221.45737905268270.742620947317302
1120.921.2393672070191-0.339367207019082
1222.220.91234943852371.28765056147635
1319.517.64217175356941.85782824643061
1421.120.69433759286000.405662407139965
152222.3294264353372-0.329426435337167
1619.219.7132842873738-0.513284287373761
1717.817.42415990790580.375840092094224
1819.219.4952724417101-0.295272441710145
1919.920.8033435156918-0.903343515691849
2019.619.7132842873738-0.113284287373759
2118.118.4052132133921-0.305213213392056
2220.421.0213553613555-0.621355361355466
2318.118.4052132133921-0.305213213392056
2418.618.7322309818875-0.132230981887479
2517.616.98813621657850.611863783421458
2619.419.9312961330374-0.531296133037379
2719.319.8222902102056-0.522290210205566
2818.619.3862665188783-0.786266518878332
2916.915.78907106542861.11092893457135
3016.417.3151539850740-0.915153985073972
311919.7132842873738-0.713284287373761
3218.719.2772605960465-0.577260596046524
3317.116.87913029374670.220869706253268
3421.521.13036128418730.369638715812726
3517.817.53316583073760.266834169262414
3618.117.20614806224220.893851937757841
371917.75117767640121.24882232359880
3818.918.9502428275511-0.050242827551102
3916.817.4241599079058-0.624159907905776
4018.119.0592487503829-0.959248750382905
4115.714.59000591427881.10999408572125
4215.115.8980769882605-0.798076988260457
4318.318.4052132133921-0.105213213392056
4416.516.8791302937467-0.379130293746733
4516.917.5331658307376-0.633165830737588
4618.418.9502428275511-0.550242827551102
4716.416.22509475675590.174905243244115
4815.715.57105921976500.128940780234969
4916.916.33410067958770.565899320412309
5016.617.0971421394104-0.497142139410349
5116.717.6421717535694-0.942171753569394
5216.617.5331658307376-0.933165830737586
5314.413.28193484029701.11806515970295
5414.515.4620532969332-0.962053296933222
5517.517.6421717535694-0.142171753569393
5614.314.9170236827742-0.617023682774178
5715.416.0070829110923-0.607082911092263
5817.217.6421717535694-0.442171753569394
5914.614.8080177599424-0.208017759942370
6014.214.04497630011970.155023699880291
6114.914.37199406861510.528005931384865
6214.114.4809999914469-0.380999991446944
6315.616.3341006795877-0.73410067958769
6414.615.8980769882605-1.29807698826046
6511.910.88380453799731.01619546200274
6613.514.5900059142788-1.09000591427875
6714.215.0260296056060-0.826029605605987
6813.714.4809999914469-0.780999991446944
6914.414.9170236827742-0.517023682774178
7015.315.5710592197650-0.271059219765029
7114.314.15398222295150.146017777048484
7214.514.26298814578330.237011854216673


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.08798947818372940.1759789563674590.91201052181627
60.1093225798707550.2186451597415100.890677420129245
70.05073231557559540.1014646311511910.949267684424405
80.1136199092661880.2272398185323760.886380090733812
90.06204779013986650.1240955802797330.937952209860134
100.03516137407715290.07032274815430590.964838625922847
110.1791619881308510.3583239762617020.82083801186915
120.1860069786807710.3720139573615410.81399302131923
130.2098681775374280.4197363550748550.790131822462573
140.2167262251809140.4334524503618280.783273774819086
150.2587914531687910.5175829063375810.741208546831209
160.6478026919000970.7043946161998070.352197308099903
170.7631365286880760.4737269426238480.236863471311924
180.8372346317042010.3255307365915970.162765368295799
190.914948192116730.170103615766540.08505180788327
200.9140861166018280.1718277667963440.0859138833981718
210.9350697119496110.1298605761007770.0649302880503887
220.9361427959924150.1277144080151700.0638572040075848
230.9417785003363070.1164429993273860.0582214996636932
240.9347916719175910.1304166561648170.0652083280824086
250.9270933677803950.1458132644392110.0729066322196055
260.9236278413289190.1527443173421630.0763721586710813
270.9178238171539750.1643523656920510.0821761828460255
280.9270743208461620.1458513583076760.072925679153838
290.9380741964540990.1238516070918020.0619258035459011
300.9618600629095050.07627987418099030.0381399370904952
310.9588859475383350.082228104923330.041114052461665
320.9520607935991960.09587841280160790.0479392064008039
330.9381785305228840.1236429389542330.0618214694771164
340.9407633285847680.1184733428304650.0592366714152323
350.9293229656091450.1413540687817110.0706770343908553
360.9496023325180560.1007953349638880.0503976674819442
370.9889306120531540.02213877589369180.0110693879468459
380.989124370148580.02175125970283850.0108756298514193
390.9877647287617650.02447054247646930.0122352712382347
400.9869835140792330.02603297184153470.0130164859207673
410.9935946168608720.01281076627825700.00640538313912848
420.9944771827134510.01104563457309750.00552281728654873
430.994139943645890.01172011270821760.00586005635410881
440.9916320948519480.01673581029610420.0083679051480521
450.9885763686056010.02284726278879760.0114236313943988
460.9859459479754290.02810810404914260.0140540520245713
470.9843377616549860.0313244766900270.0156622383450135
480.9796744042161270.04065119156774710.0203255957838736
490.9909581644412760.01808367111744850.00904183555872425
500.9876914323158850.02461713536823010.0123085676841151
510.983434371833810.03313125633238050.0165656281661902
520.9772404658423740.04551906831525260.0227595341576263
530.9887044637702730.02259107245945440.0112955362297272
540.9886489269757360.02270214604852770.0113510730242639
550.9929007724908080.01419845501838350.00709922750919175
560.9890158993247370.02196820135052600.0109841006752630
570.9809308940044680.03813821199106470.0190691059955323
580.9884188783618020.0231622432763970.0115811216381985
590.9788714323091370.04225713538172690.0211285676908635
600.9642690533947280.07146189321054320.0357309466052716
610.9784108946086490.04317821078270150.0215891053913508
620.957390776077930.08521844784413980.0426092239220699
630.9375367167599450.1249265664801110.0624632832400554
640.9124137827775010.1751724344449990.0875862172224993
650.8420899883875120.3158200232249760.157910011612488
660.8782973096153330.2434053807693350.121702690384667
670.8201489132143730.3597021735712540.179851086785627


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level240.380952380952381NOK
10% type I error level300.476190476190476NOK