Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 95.719020908 + 24.90158083X[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)95.7190209084.12143223.224700
X24.901580834.5148035.51551e-060


Multiple Linear Regression - Regression Statistics
Multiple R0.586556645237301
R-squared0.344048698072037
Adjusted R-squared0.332739192866383
F-TEST (value)30.4211980821247
F-TEST (DF numerator)1
F-TEST (DF denominator)58
p-value8.44200816363383e-07
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation13.0331123291101
Sum Squared Residuals9851.99698502568


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
110095.71902090800024.28097909199981
295.8439571695.7190209080.124936252000047
3105.5073942120.620601738-15.113207538
4118.1540031120.620601738-2.466598638
5101.8612953120.620601738-18.759306438
6109.8419174120.620601738-10.778684338
7105.6348802120.620601738-14.985721538
8112.927078120.620601738-7.693523738
9133.0698623120.62060173812.449260562
10125.6756757120.6206017385.055073962
11146.736359120.62060173826.115757262
12142.5803162120.62060173821.959714462
13106.1448241120.620601738-14.475777638
14126.5170831120.6206017385.896481362
15132.7893932120.62060173812.168791462
16121.2391637120.6206017380.618561962000007
17114.5079041120.620601738-6.112697638
18146.1499235120.62060173825.529321762
19146.1244263120.62060173825.503824562
20128.5058644120.6206017387.88526266200001
21155.5838858120.62060173834.963284062
22125.0382458120.6206017384.417644062
23136.8944416120.62060173816.273839862
24142.2233554120.62060173821.602753662
25117.7715451120.620601738-2.849056638
26120.627231120.6206017380.00662926199999536
27127.7664457120.6206017387.145843962
28135.1096379120.62060173814.489036162
29105.7113717120.620601738-14.909230038
30117.9245283120.620601738-2.69607343799999
31120.754717120.6206017380.134115262
32107.572667120.620601738-13.047934738
33130.4436512120.6206017389.823049462
34107.2157063120.620601738-13.404895438
35105.0739419120.620601738-15.546659838
36130.1121877120.6206017389.491585962
37109.6379398120.620601738-10.982661938
38116.7261601120.620601738-3.894441638
3997.1188169395.7190209081.39979602200002
40140.8975013120.62060173820.276899562
41108.2865885120.620601738-12.334013238
4297.6542580395.7190209081.93523712200002
43112.0346762120.620601738-8.585925538
44123.0494646120.6206017382.42886286199999
45112.4171341120.620601738-8.203467638
46116.4966854120.620601738-4.12391633800000
47104.6914839120.620601738-15.929117838
48122.2335543120.6206017381.61295256199999
4999.7960224495.7190209084.07700153200002
5096.7108618195.7190209080.991840902000019
51112.3151453120.620601738-8.305456438
52102.5497195120.620601738-18.070882238
53104.5385008120.620601738-16.082100938
54122.0805711120.6206017381.459969362
5580.6476287695.719020908-15.0713921480000
5691.4074451895.719020908-4.31157572799998
5799.5155532995.7190209083.79653238200002
58106.527282120.620601738-14.093319738
5998.4956654895.7190209082.77664457200002
60106.7567568120.620601738-13.863844938


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.1724945728656950.3449891457313890.827505427134305
60.07597932243501850.1519586448700370.924020677564982
70.03501412254789430.07002824509578860.964985877452106
80.01751471770125650.03502943540251300.982485282298744
90.2099235451488880.4198470902977760.790076454851112
100.2121926233870860.4243852467741720.787807376612914
110.6629158663090320.6741682673819370.337084133690968
120.804057981959870.391884036080260.19594201804013
130.8002525860556090.3994948278887830.199747413944391
140.7470310745595120.5059378508809760.252968925440488
150.7331878440376140.5336243119247710.266812155962386
160.6556670745398650.6886658509202710.344332925460135
170.5887793376601660.8224413246796680.411220662339834
180.7705365435739840.4589269128520320.229463456426016
190.88507009573120.2298598085375990.114929904268800
200.8540986924951330.2918026150097340.145901307504867
210.984214754506150.03157049098770040.0157852454938502
220.9765592571180940.04688148576381170.0234407428819058
230.9827278751930710.03454424961385780.0172721248069289
240.9946224516257360.01075509674852850.00537754837426423
250.9917001069480050.01659978610398990.00829989305199493
260.987313896847360.02537220630528120.0126861031526406
270.9851094006729760.02978119865404790.0148905993270239
280.991821063308410.01635787338317990.00817893669158996
290.9932003361493860.01359932770122870.00679966385061434
300.9894798218182720.02104035636345550.0105201781817277
310.9846271242837530.03074575143249360.0153728757162468
320.9835959191603370.03280816167932710.0164040808396635
330.9872837347956840.0254325304086320.012716265204316
340.9860686450337350.02786270993253060.0139313549662653
350.986958126860090.02608374627981790.0130418731399090
360.9905405512267120.01891889754657550.00945944877328774
370.9869935492067550.02601290158649070.0130064507932454
380.9792671732246470.04146565355070510.0207328267753525
390.9665265024684180.06694699506316390.0334734975315819
400.9986358821415120.002728235716977020.00136411785848851
410.997836554148910.004326891702177860.00216344585108893
420.9958201482550260.008359703489948750.00417985174497438
430.9923860140741650.01522797185166980.00761398592583492
440.9932772976690740.01344540466185250.00672270233092624
450.9876725473667730.02465490526645440.0123274526332272
460.981083190904830.03783361819033920.0189168090951696
470.9746171121583290.05076577568334260.0253828878416713
480.9800976819786750.03980463604264990.0199023180213250
490.9684935855701610.06301282885967740.0315064144298387
500.944075739601760.1118485207964790.0559242603982395
510.9057641063002820.1884717873994350.0942358936997177
520.8757496677277080.2485006645445840.124250332272292
530.8255360631908330.3489278736183350.174463936809167
540.8617467524652150.276506495069570.138253247534785
550.974028131208370.05194373758325830.0259718687916292


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level30.0588235294117647NOK
5% type I error level270.529411764705882NOK
10% type I error level320.627450980392157NOK