Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 7888.67164179105 + 2776.57835820895X[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)7888.67164179105220.68865835.745700
X2776.57835820895406.5021076.830400


Multiple Linear Regression - Regression Statistics
Multiple R0.577988961847573
R-squared0.334071240017635
Adjusted R-squared0.326910715716750
F-TEST (value)46.6545780699768
F-TEST (DF numerator)1
F-TEST (DF denominator)93
p-value8.61620108594252e-10
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1806.41452043425
Sum Squared Residuals303471408.026119


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
190517888.671641791031162.32835820897
288237888.67164179104934.328358208957
387767888.67164179104887.328358208955
482557888.67164179104366.328358208955
579697888.6716417910480.328358208955
687587888.67164179104869.328358208955
786937888.67164179104804.328358208955
882717888.67164179104382.328358208955
977907888.67164179104-98.671641791045
1077697888.67164179104-119.671641791045
1181707888.67164179104281.328358208955
1282097888.67164179104320.328358208955
1393957888.671641791041506.32835820896
1492607888.671641791041371.32835820896
1590187888.671641791041129.32835820896
1685017888.67164179104612.328358208955
1785007888.67164179104611.328358208955
1896497888.671641791041760.32835820896
1993197888.671641791041430.32835820896
2088307888.67164179104941.328358208955
2184367888.67164179104547.328358208955
2281697888.67164179104280.328358208955
2382697888.67164179104380.328358208955
2479457888.6716417910456.328358208955
2591447888.671641791041255.32835820896
2687707888.67164179104881.328358208955
2788347888.67164179104945.328358208955
2878377888.67164179104-51.671641791045
2977927888.67164179104-96.671641791045
3086167888.67164179104727.328358208955
3185187888.67164179104629.328358208955
3279407888.6716417910451.328358208955
3375457888.67164179104-343.671641791045
3475317888.67164179104-357.671641791045
3576657888.67164179104-223.671641791045
3675997888.67164179104-289.671641791045
3784447888.67164179104555.328358208955
3885497888.67164179104660.328358208955
3979867888.6716417910497.328358208955
4073357888.67164179104-553.671641791045
4172877888.67164179104-601.671641791045
4278707888.67164179104-18.6716417910449
4378397888.67164179104-49.671641791045
4473277888.67164179104-561.671641791045
4572597888.67164179104-629.671641791045
4669647888.67164179104-924.671641791045
4772717888.67164179104-617.671641791045
4869567888.67164179104-932.671641791045
4976087888.67164179104-280.671641791045
5076927888.67164179104-196.671641791045
5172557888.67164179104-633.671641791045
5268047888.67164179104-1084.67164179104
5366557888.67164179104-1233.67164179104
5473417888.67164179104-547.671641791045
5576027888.67164179104-286.671641791045
5670867888.67164179104-802.671641791045
5766257888.67164179104-1263.67164179104
5862727888.67164179104-1616.67164179104
5965767888.67164179104-1312.67164179104
6064917888.67164179104-1397.67164179104
6176497888.67164179104-239.671641791045
6274007888.67164179104-488.671641791045
6369137888.67164179104-975.671641791045
6465327888.67164179104-1356.67164179104
6564867888.67164179104-1402.67164179104
6672957888.67164179104-593.671641791045
6775567888.67164179104-332.671641791045
68708810665.25-3577.25
69695210665.25-3713.25
70677310665.25-3892.25
71691710665.25-3748.25
72737110665.25-3294.25
73822110665.25-2444.25
74795310665.25-2712.25
75802710665.25-2638.25
76728710665.25-3378.25
77807610665.25-2589.25
78893310665.25-1732.25
79943310665.25-1232.25
80947910665.25-1186.25
81919910665.25-1466.25
82946910665.25-1196.25
831001510665.25-650.25
841099910665.25333.75
851300910665.252343.75
861369910665.253033.75
871389510665.253229.75
881324810665.252582.75
891397310665.253307.75
901509510665.254429.75
911520110665.254535.75
921482310665.254157.75
931453810665.253872.75
941454710665.253881.75
951440710665.253741.75


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.02825349856035250.05650699712070490.971746501439648
60.006786309718563630.01357261943712730.993213690281436
70.001430408692646350.00286081738529270.998569591307354
80.0003832227687875680.0007664455375751360.999616777231212
90.0003340972150631080.0006681944301262160.999665902784937
100.0002050120884188820.0004100241768377650.999794987911581
115.43962744442585e-050.0001087925488885170.999945603725556
121.32531381304222e-052.65062762608444e-050.99998674686187
132.20557365529464e-054.41114731058927e-050.999977944263447
141.60151474374326e-053.20302948748652e-050.999983984852563
156.42826746521932e-061.28565349304386e-050.999993571732535
161.71405999983858e-063.42811999967715e-060.99999828594
174.4080701235009e-078.8161402470018e-070.999999559192988
188.38234541824112e-071.67646908364822e-060.999999161765458
195.03167780658305e-071.00633556131661e-060.99999949683222
201.51835047873197e-073.03670095746394e-070.999999848164952
214.44359877803178e-088.88719755606357e-080.999999955564012
221.64939558617211e-083.29879117234422e-080.999999983506044
235.24274667484043e-091.04854933496809e-080.999999994757253
242.65436806618254e-095.30873613236509e-090.999999997345632
251.23952975945155e-092.47905951890310e-090.99999999876047
263.53248785525986e-107.06497571051972e-100.999999999646751
271.04020148541567e-102.08040297083133e-100.99999999989598
286.92311581986717e-111.38462316397343e-100.99999999993077
294.66177224697494e-119.32354449394987e-110.999999999953382
301.26624727267042e-112.53249454534084e-110.999999999987337
313.34193066304222e-126.68386132608444e-120.999999999996658
321.54423429299077e-123.08846858598153e-120.999999999998456
331.76614884829276e-123.53229769658551e-120.999999999998234
341.77132868694403e-123.54265737388805e-120.999999999998229
351.13786126165427e-122.27572252330853e-120.999999999998862
367.8273818467608e-131.56547636935216e-120.999999999999217
372.19916105246470e-134.39832210492940e-130.99999999999978
386.32964321121567e-141.26592864224313e-130.999999999999937
392.18030833929713e-144.36061667859426e-140.999999999999978
402.68539181132149e-145.37078362264299e-140.999999999999973
413.20491037141878e-146.40982074283756e-140.999999999999968
421.16270274262040e-142.32540548524079e-140.999999999999988
434.28230258633098e-158.56460517266196e-150.999999999999996
443.79049321380814e-157.58098642761629e-150.999999999999996
453.55098374850178e-157.10196749700357e-150.999999999999996
466.20132383366803e-151.24026476673361e-140.999999999999994
474.5191056946561e-159.0382113893122e-150.999999999999996
485.99659188757903e-151.19931837751581e-140.999999999999994
492.36245786956794e-154.72491573913589e-150.999999999999998
508.42022231659214e-161.68404446331843e-151
515.12545414536227e-161.02509082907245e-151
527.32646799047137e-161.46529359809427e-151
531.27657565865882e-152.55315131731763e-150.999999999999999
545.74837954563833e-161.14967590912767e-151
551.97910298104689e-163.95820596209379e-161
561.1980075782973e-162.3960151565946e-161
571.62369813479999e-163.24739626959997e-161
584.33284141600166e-168.66568283200332e-161
594.8440266399452e-169.6880532798904e-161
605.77014206560861e-161.15402841312172e-151
611.76138521656478e-163.52277043312956e-161
625.9496520018796e-171.18993040037592e-161
633.14666080510727e-176.29332161021454e-171
642.8592739854673e-175.7185479709346e-171
652.66571924079631e-175.33143848159263e-171
668.66741132170579e-181.73348226434116e-171
672.37182806182964e-184.74365612365929e-181
682.37273597438096e-184.74547194876192e-181
693.29913653892463e-186.59827307784926e-181
707.46380382025737e-181.49276076405147e-171
712.07898685346107e-174.15797370692214e-171
725.70462204037328e-171.14092440807466e-161
731.59559599635218e-163.19119199270436e-161
745.33706820432813e-161.06741364086563e-151
752.48234412083168e-154.96468824166336e-150.999999999999998
766.5450849624582e-141.30901699249164e-130.999999999999934
771.36499553033344e-122.72999106066688e-120.999999999998635
782.71229904723371e-115.42459809446742e-110.999999999972877
796.06851097136876e-101.21370219427375e-090.999999999393149
801.82873071695125e-083.65746143390251e-080.999999981712693
811.76583774099185e-063.53167548198369e-060.99999823416226
820.0003540318816251090.0007080637632502190.999645968118375
830.05303648917480820.1060729783496160.946963510825192
840.7223233314515970.5553533370968050.277676668548403
850.9099382236259440.1801235527481130.0900617763740564
860.9396287959148620.1207424081702770.0603712040851383
870.9410026946253460.1179946107493070.0589973053746537
880.9876579667411250.02468406651775050.0123420332588753
890.9918551897461710.01628962050765810.00814481025382907
900.9816440735422370.03671185291552510.0183559264577626


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level760.883720930232558NOK
5% type I error level800.930232558139535NOK
10% type I error level810.94186046511628NOK