Multiple Linear Regression - Estimated Regression Equation
Population [t] = + 9269874.88784229 + 1.37551473772754e-07GDP[t] + 24836.8461074138t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)9269874.8878422938791.749789238.965100
GDP1.37551473772754e-071e-060.19230.8483320.424166
t24836.84610741385090.1822324.87941.3e-056e-06


Multiple Linear Regression - Regression Statistics
Multiple R0.970485263345497
R-squared0.941841646370779
Adjusted R-squared0.939366822812088
F-TEST (value)380.569209899239
F-TEST (DF numerator)2
F-TEST (DF denominator)47
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation95424.510321447
Sum Squared Residuals427974346994.134


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
191190009296699.43653547-177699.436535474
291660009321662.6882305-155662.688230507
392180009346646.81612812-128646.816128121
492830009371653.47116292-88653.471162918
593670009396780.16651056-29780.1665105557
694480009421857.6346814626142.3653185359
795080009446912.7813601461087.2186398563
895570009471978.111689785021.8883103057
995900009497050.9700331492949.0299668622
1096130009522285.8064567590714.1935432527
1196380009547574.9095117290425.0904882762
1296730009572841.34262688100158.657373123
1397090009598266.53765306110733.462346941
1497380009623854.38729698114145.612703022
1597680009649774.16240226118225.837597743
1697950009675394.9143587119605.085641298
1798110009701342.0759624109657.924037591
1898220009726932.1401850595067.8598149447
1998300009752507.6377066377492.3622933712
2098370009778090.5905180858909.4094819192
2198470009803932.2914068543067.7085931533
2298520009829374.0476304722625.9523695291
2398560009855285.4733613714.526638707701
2498560009880963.99693672-24963.9969367216
2598530009907007.03191765-54007.0319176487
2698580009932874.2761151-74874.2761150943
2798620009958516.48610145-96516.4861014475
2898700009984080.42929922-114080.429299224
29990200010010230.4793267-108230.479326746
30993800010036761.2718337-98761.2718336718
31996740010062913.2475818-95513.247581827
321000450010088850.092825-84350.0928250015
331004500010114898.4923134-69898.4923134057
341008450010140495.8605193-55995.8605193091
351011560010166742.8843358-51142.8843358412
361013680010192582.0680326-55782.0680326371
371015700010217916.4378207-60916.437820687
381018100010244099.2250990-63099.2250989672
391020300010270089.8529684-67089.8529683869
401022600010296120.0956623-70120.0956622531
411025200010322812.9238053-70812.9238052827
421028700010348632.1625384-61632.1625383816
431033300010374675.1975193-41675.1975193087
4410376080.1410400485.0827522-24404.9427521903
4510421120.6110427536.3700359-6415.7600358729
461047865010454026.584858024623.4151419654
471054795810480974.570984966983.4290150873
481062570010508116.0920354117583.907964611
491070843310534291.0388797174141.961120336
501078876010558111.1044929230648.89550705


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
60.0001449889243536740.0002899778487073470.999855011075646
76.86218830065369e-050.0001372437660130740.999931378116994
80.0007063545260530090.001412709052106020.999293645473947
90.009824786509887570.01964957301977510.990175213490112
100.04528641201096380.09057282402192750.954713587989036
110.04111024514023870.08222049028047740.958889754859761
120.02650899168666270.05301798337332540.973491008313337
130.02156771575475570.04313543150951140.978432284245244
140.02413230032665450.04826460065330890.975867699673346
150.04332685429031010.08665370858062010.95667314570969
160.03420729233262750.06841458466525490.965792707667373
170.02525056118891020.05050112237782040.97474943881109
180.01426211515072540.02852423030145080.985737884849275
190.00896161422173670.01792322844347340.991038385778263
200.007614361922555680.01522872384511140.992385638077444
210.005822080000149890.01164416000029980.99417791999985
220.009888721528051410.01977744305610280.990111278471949
230.01227424393220620.02454848786441240.987725756067794
240.01932040200450030.03864080400900060.9806795979955
250.01678196648147130.03356393296294260.983218033518529
260.01179102498632050.02358204997264090.98820897501368
270.00831240611600590.01662481223201180.991687593883994
280.006567693983045490.01313538796609100.993432306016955
290.00530412565337370.01060825130674740.994695874346626
300.03988532838132950.0797706567626590.96011467161867
310.1474428202507060.2948856405014120.852557179749294
320.2863497010153470.5726994020306950.713650298984653
330.4376016393519460.8752032787038920.562398360648054
340.5491414882601510.9017170234796980.450858511739849
350.6588147837628890.6823704324742220.341185216237111
360.7316894001256840.5366211997486320.268310599874316
370.8060050293296210.3879899413407570.193994970670379
380.8821706007440.2356587985119980.117829399255999
390.9379123771993280.1241752456013450.0620876228006724
400.9674636238268170.06507275234636580.0325363761731829
410.9826978932233150.03460421355337000.0173021067766850
420.9887911531034860.02241769379302780.0112088468965139
430.9952249453284990.009550109343002430.00477505467150122
440.9963539489032910.007292102193417130.00364605109670856


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level50.128205128205128NOK
5% type I error level220.564102564102564NOK
10% type I error level300.76923076923077NOK