Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 3.67573123516923 + 0.402023229674035X[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)3.675731235169230.6497845.656800
X0.4020232296740350.0742535.41431e-061e-06


Multiple Linear Regression - Regression Statistics
Multiple R0.579423898585698
R-squared0.335732054252249
Adjusted R-squared0.324279158635909
F-TEST (value)29.3141634656340
F-TEST (DF numerator)1
F-TEST (DF denominator)58
p-value1.2302241262363e-06
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.542502420533747
Sum Squared Residuals17.0699148245285


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
18.18.057784438616230.0422155613837746
27.77.695963531909580.00403646809042381
37.57.374344948170350.12565505182965
47.67.374344948170350.225655051829650
57.87.494951917072560.305048082927439
67.87.535154240039960.264845759960036
77.87.494951917072560.305048082927439
87.57.334142625202950.165857374797053
97.57.253737979268140.24626202073186
107.17.29394030223554-0.193940302235544
117.57.73616585487698-0.236165854876981
127.57.81657050081179-0.316570500811789
137.67.77636817784438-0.176368177844385
147.77.535154240039960.164845759960036
157.77.374344948170350.32565505182965
167.97.414547271137750.485452728862246
178.17.454749594105160.645250405894842
188.27.454749594105160.745250405894842
198.27.374344948170350.82565505182965
208.27.293940302235540.906059697764456
217.97.293940302235540.606059697764457
227.37.293940302235540.00605969776445643
236.97.61555888597477-0.715558885974771
246.67.69596353190958-1.09596353190958
256.77.61555888597477-0.915558885974771
266.97.41454727113775-0.514547271137754
2777.29394030223554-0.293940302235543
287.17.29394030223554-0.193940302235544
297.27.33414262520295-0.134142625202947
307.17.33414262520295-0.234142625202947
316.97.33414262520295-0.434142625202946
3277.37434494817035-0.37434494817035
336.87.21353565630074-0.413535656300737
346.47.01252404146372-0.612524041463719
356.77.05272636443112-0.352726364431123
366.66.93211939552891-0.332119395528913
376.46.7713101036593-0.371310103659298
386.36.8517147495941-0.551714749594106
396.26.8517147495941-0.651714749594105
406.56.89191707256151-0.391917072561509
416.86.8517147495941-0.0517147495941058
426.86.73110778069190.0688922193081048
436.46.53009616585488-0.130096165854877
446.16.40948919695267-0.309489196952668
455.86.28888222805046-0.488882228050457
466.16.44969151992007-0.349691519920072
477.26.972321718496320.227678281503685
487.37.173333333333330.126666666666667
496.97.01252404146372-0.112524041463719
506.16.8517147495941-0.751714749594106
515.86.69090545772449-0.890905457724492
526.26.8115124266267-0.611512426626702
537.17.012524041463720.0874759585362801
547.77.052726364431120.647273635568877
557.96.972321718496320.927678281503685
567.76.77131010365930.928689896340702
577.46.570298488822280.829701511177719
587.56.610500811789680.889499188210315
5986.932119395528911.06788060447109
608.17.092928687398531.00707131260147


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.01058222283055480.02116444566110960.989417777169445
60.002618280002942970.005236560005885940.997381719997057
70.0007196507601570850.001439301520314170.999280349239843
80.0001610310925020120.0003220621850040240.999838968907498
92.60833088699367e-055.21666177398734e-050.99997391669113
100.0004362051110848180.0008724102221696370.999563794888915
110.0005685434699344090.001137086939868820.999431456530066
120.00056732239033310.00113464478066620.999432677609667
130.0002308053065141220.0004616106130282450.999769194693486
147.9631048681344e-050.0001592620973626880.999920368951319
153.50720239782191e-057.01440479564381e-050.999964927976022
163.84245944272907e-057.68491888545814e-050.999961575405573
170.0001187595201518670.0002375190403037350.999881240479848
180.0004333052205277970.0008666104410555940.999566694779472
190.001205834329269470.002411668658538940.99879416567073
200.002882501773606820.005765003547213650.997117498226393
210.00234190421882780.00468380843765560.997658095781172
220.002353990445574040.004707980891148080.997646009554426
230.009706992665334340.01941398533066870.990293007334666
240.05700896311664540.1140179262332910.942991036883355
250.1198123430040720.2396246860081450.880187656995928
260.1444359158751770.2888718317503540.855564084124823
270.1431014926977240.2862029853954470.856898507302276
280.1237401908725880.2474803817451760.876259809127412
290.09740237603648130.1948047520729630.902597623963519
300.0805478602092650.161095720418530.919452139790735
310.08210271810972860.1642054362194570.917897281890271
320.07680161000185860.1536032200037170.923198389998141
330.08254177379434120.1650835475886820.917458226205659
340.1195245046549140.2390490093098270.880475495345086
350.1129927583028530.2259855166057060.887007241697147
360.09977384754096410.1995476950819280.900226152459036
370.08394938182290470.1678987636458090.916050618177095
380.08802243103670370.1760448620734070.911977568963296
390.1073297846273820.2146595692547650.892670215372618
400.09996215575438740.1999243115087750.900037844245613
410.07364872945049370.1472974589009870.926351270549506
420.0513812452495760.1027624904991520.948618754750424
430.03330193669564060.06660387339128120.96669806330436
440.02112170252720020.04224340505440040.9788782974728
450.01432178558206770.02864357116413540.985678214417932
460.01019777709952090.02039555419904180.98980222290048
470.006312894759792720.01262578951958540.993687105240207
480.003808067915677260.007616135831354520.996191932084323
490.002780079982917590.005560159965835180.997219920017082
500.01119474219525320.02238948439050640.988805257804747
510.1136874440933670.2273748881867340.886312555906633
520.7637402940236480.4725194119527040.236259705976352
530.9889470783196960.02210584336060830.0110529216803042
540.9994103128282430.001179374343514670.000589687171757336
550.997891487245120.004217025509760950.00210851275488048


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level210.411764705882353NOK
5% type I error level290.568627450980392NOK
10% type I error level300.588235294117647NOK