Multiple Linear Regression - Estimated Regression Equation
Yt[t] = + 100.393611638968 + 0.332336476662426X1[t] + 3.99817389808975X2[t] + 1.85791247072403X3[t] + 7.83886063212366X4[t] + 2.55876932475728X5[t] -3.23116194241756X6[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)100.393611638968252.061980.39830.691330.345665
X10.3323364766624260.0405388.198100
X23.998173898089751.824022.1920.0308790.01544
X31.857912470724033.5636610.52130.6033630.301681
X47.838860632123665.2765171.48560.1407640.070382
X52.558769324757282.3302411.09810.2750080.137504
X6-3.231161942417567.286181-0.44350.658460.32923


Multiple Linear Regression - Regression Statistics
Multiple R0.783045775972243
R-squared0.613160687267972
Adjusted R-squared0.588203312253002
F-TEST (value)24.5683164555645
F-TEST (DF numerator)6
F-TEST (DF denominator)93
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation187.669515253797
Sum Squared Residuals3275445.76687034


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1478559.882079274508-81.8820792745077
2494570.986176753474-76.9861767534738
3643704.005363678289-61.0053636782891
4341632.823520381786-291.823520381786
5773677.92115806077795.0788419392228
6603509.21756534563693.7824346543645
7484580.919451284355-96.9194512843549
8546519.43019202460626.5698079753946
9424465.219932798116-41.2199327981163
10548592.558206662016-44.5582066620163
11506523.893430174056-17.8934301740559
12819605.520749206515213.479250793485
13541561.610429575029-20.610429575029
14491750.878862426951-259.878862426951
15514498.82136958732815.1786304126715
16371505.313879684233-134.313879684233
17457489.951621037286-32.9516210372863
18437583.595210986059-146.595210986059
19570603.776048293387-33.7760482933869
20432526.017630951951-94.0176309519513
21619727.874003901545-108.874003901545
22357549.932038770365-192.932038770365
23623614.5923146782738.40768532172736
24547815.576777312715-268.576777312715
25792710.46099850488581.5390014951147
26799742.45487744147456.5451225585262
27439632.543583986624-193.543583986624
28867846.26566354752520.7343364524745
29912825.02473195194986.9752680480505
30462570.104677478719-108.104677478719
31859738.086124885779120.913875114221
32805853.830735861158-48.830735861158
33652696.861648752452-44.8616487524522
34776629.086786834156146.913213165844
35919747.238641249239171.761358750761
367321007.49617940853-275.496179408532
37657722.310437860598-65.3104378605983
381419713.109341221742705.890658778258
39989882.601833249775106.398166750225
40821831.415365596305-10.4153655963048
4117401907.60530244396-167.605302443965
42815739.80012027440675.1998797255943
43760734.41617047456425.5838295254363
44936729.284709842033206.715290157967
45863667.718509057974195.281490942026
46783942.240759548306-159.240759548306
47715698.31737186705716.6826281329432
481504998.258650167046505.741349832954
4913241060.79933102286263.200668977144
509401100.34943462162-160.349434621625
51478559.882079274507-81.8820792745074
52494570.986176753474-76.9861767534742
53643704.005363678289-61.0053636782891
54341632.823520381786-291.823520381786
55773677.92115806077795.0788419392227
56603509.21756534563593.7824346543645
57484580.919451284355-96.9194512843549
58546519.43019202460626.5698079753946
59424465.219932798116-41.2199327981163
60548592.558206662016-44.5582066620163
61506523.893430174056-17.8934301740559
62819605.520749206515213.479250793485
63541561.610429575029-20.610429575029
64491750.878862426951-259.878862426951
65514498.82136958732815.1786304126715
66371505.313879684233-134.313879684233
67457489.951621037286-32.9516210372863
68437583.595210986059-146.595210986059
69570603.776048293387-33.7760482933869
70432526.017630951951-94.0176309519513
71619727.874003901545-108.874003901545
72357549.932038770365-192.932038770365
73623614.5923146782738.40768532172736
74547815.576777312715-268.576777312715
75792710.46099850488581.5390014951147
76799742.45487744147456.5451225585262
77439632.543583986624-193.543583986624
78867846.26566354752520.7343364524745
79912825.02473195194986.9752680480505
80462570.104677478719-108.104677478719
81859738.086124885779120.913875114221
82805853.830735861158-48.830735861158
83652696.861648752452-44.8616487524522
84776629.086786834156146.913213165844
85919747.238641249239171.761358750761
867321007.49617940853-275.496179408532
87657722.310437860598-65.3104378605983
881419713.109341221742705.890658778258
89989882.601833249775106.398166750225
90821831.415365596305-10.4153655963048
9117401907.60530244396-167.605302443965
92815739.80012027440675.1998797255943
93760734.41617047456425.5838295254363
94936729.284709842033206.715290157967
95863667.718509057974195.281490942026
96783942.240759548306-159.240759548306
97715698.31737186705716.6826281329432
981504998.258650167046505.741349832954
9913241060.79933102286263.200668977144
1009401100.34943462162-160.349434621625


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.2140359076545410.4280718153090820.785964092345459
110.1161951064467450.2323902128934910.883804893553255
120.06700630769723680.1340126153944740.932993692302763
130.02905493877291520.05810987754583050.970945061227085
140.01415404676983030.02830809353966060.98584595323017
150.00560834051502580.01121668103005160.994391659484974
160.004576301973776770.009152603947553540.995423698026223
170.001880867102977670.003761734205955340.998119132897022
180.01564458087270120.03128916174540240.984355419127299
190.01298190460151260.02596380920302530.987018095398487
200.006731045395185530.01346209079037110.993268954604814
210.006672548107081950.01334509621416390.993327451892918
220.006131808174690630.01226361634938130.993868191825309
230.003919024212737960.007838048425475920.996080975787262
240.002490549002279580.004981098004559160.99750945099772
250.008558523561234210.01711704712246840.991441476438766
260.006496737181462130.01299347436292430.993503262818538
270.004275124036270730.008550248072541450.995724875963729
280.00344729525616930.00689459051233860.996552704743831
290.004591562688018230.009183125376036460.995408437311982
300.002863033846795410.005726067693590830.997136966153205
310.003140392268841250.006280784537682510.996859607731159
320.001895601265473720.003791202530947440.998104398734526
330.001062665191479290.002125330382958570.998937334808521
340.00159818910343330.00319637820686660.998401810896567
350.001589408359270970.003178816718541930.998410591640729
360.004766245590389330.009532491180778660.995233754409611
370.002954170207275830.005908340414551660.997045829792724
380.3693913695577850.738782739115570.630608630442215
390.323771382589610.647542765179220.67622861741039
400.2686963173565780.5373926347131560.731303682643422
410.2362047282986350.4724094565972690.763795271701365
420.1994587701784230.3989175403568460.800541229821577
430.1774112537871210.3548225075742410.822588746212879
440.1894309740961350.3788619481922690.810569025903865
450.2146539766235690.4293079532471390.785346023376431
460.1992890553132430.3985781106264860.800710944686757
470.1591308764674440.3182617529348880.840869123532556
480.4663879602798260.9327759205596510.533612039720174
490.5184938276650210.9630123446699590.481506172334979
500.50.9999999999999990.5
510.4494262038789150.8988524077578290.550573796121085
520.3986919766344550.7973839532689110.601308023365545
530.3467080768323710.6934161536647430.653291923167629
540.4247277825972770.8494555651945540.575272217402723
550.3762780124934890.7525560249869770.623721987506511
560.3306851785180610.6613703570361220.669314821481939
570.2925102610859830.5850205221719660.707489738914017
580.2420650577536810.4841301155073610.757934942246319
590.2001896509123470.4003793018246940.799810349087653
600.1619362326724860.3238724653449720.838063767327514
610.1276001417988950.255200283597790.872399858201105
620.138257110948470.2765142218969410.86174288905153
630.1093634805708470.2187269611416950.890636519429153
640.1401336158169220.2802672316338440.859866384183078
650.1133097401238090.2266194802476190.886690259876191
660.1170421614016990.2340843228033990.882957838598301
670.1192409776169130.2384819552338260.880759022383087
680.1006717847648280.2013435695296550.899328215235172
690.07625961021353780.1525192204270760.923740389786462
700.07960398682182670.1592079736436530.920396013178173
710.06708743374923560.1341748674984710.932912566250764
720.07913671851561880.1582734370312380.920863281484381
730.0602842295254270.1205684590508540.939715770474573
740.08033346458998050.1606669291799610.91966653541002
750.05981006891824110.1196201378364820.940189931081759
760.05421342257198050.1084268451439610.945786577428019
770.0902580186603530.1805160373207060.909741981339647
780.07875123909358320.1575024781871660.921248760906417
790.06129767388609840.1225953477721970.938702326113902
800.05770189782515430.1154037956503090.942298102174846
810.04050673266051570.08101346532103130.959493267339484
820.04540577655153230.09081155310306460.954594223448468
830.04245073140401330.08490146280802670.957549268595987
840.03384108587412040.06768217174824080.96615891412588
850.021466825501160.04293365100231990.97853317449884
860.02801401888166770.05602803776333530.971985981118332
870.01496253060979560.02992506121959120.985037469390204
880.2553402784849280.5106805569698550.744659721515072
890.16053249774060.32106499548120.8394675022594
900.09168371992063740.1833674398412750.908316280079363


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level150.185185185185185NOK
5% type I error level260.320987654320988NOK
10% type I error level320.395061728395062NOK