Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 282428.042215116 -644.709018428348X[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)282428.0422151166765.86087141.743100
X-644.709018428348265.31138-2.430.0177840.008892


Multiple Linear Regression - Regression Statistics
Multiple R0.284596384591662
R-squared0.0809951021226453
Adjusted R-squared0.0672786111095505
F-TEST (value)5.90494333028185
F-TEST (DF numerator)1
F-TEST (DF denominator)67
p-value0.0177840213312728
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation16805.5367906118
Sum Squared Residuals18922546476.9807


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1267413268631.269220751-1218.26922075110
2267366265407.7241286081958.27587139188
3264777265407.724128608-630.724128608104
4258863263473.597073323-4610.59707332306
5254844260250.051981181-5406.05198118132
6254868266697.142165465-11829.1421654648
7277267265407.72412860811859.2758713919
8285351266052.43314703619298.5668529636
9286602262184.17903646624417.8209635336
10283042264763.0151101818278.9848898202
11276687264763.0151101811923.9848898202
12277915263473.59707332314441.4029266769
13277128261539.47001803815588.5299819620
14277103265407.72412860811695.2758713919
15275037267986.5602023227050.4397976785
16270150269920.687257607229.312742393460
17267140268631.26922075-1491.26922074984
18264993267341.851183893-2348.85118389315
19287259267341.85118389319917.1488161069
20291186266052.43314703625133.5668529636
21292300264118.30609175128181.6939082486
22288186264763.0151101823422.9848898202
23281477268631.2692207512845.7307792502
24282656271210.10529446311445.8947055368
25280190266697.14216546513492.8578345352
26280408265407.72412860815000.2758713919
27276836267986.5602023228849.4397976785
28275216273144.2323497482071.76765025172
29274352270565.3962760353786.60372396511
30271311266052.4331470365258.56685296355
31289802263473.59707332326328.4029266769
32290726265407.72412860825318.2758713919
33292300265407.72412860826892.2758713919
34278506269275.9782391789230.02176082181
35269826265407.7241286084418.2758713919
36265861263473.5970733232387.40292667694
37269034260894.7609996108139.23900039033
38264176261539.4700180382636.52998196198
39255198259605.342962753-4407.34296275297
40253353260250.051981181-6897.05198118132
41246057258960.633944325-12903.6339443246
42235372261539.470018038-26167.470018038
43258556260250.051981181-1694.05198118132
44260993262184.179036466-1191.17903646636
45254663264763.01511018-10100.0151101798
46250643264763.01511018-14120.0151101798
47243422262828.888054895-19406.8880548947
48247105261539.470018038-14434.4700180380
49248541261539.470018038-12998.4700180380
50245039264763.01511018-19724.0151101798
51237080262184.179036466-25104.1790364664
52237085263473.597073323-26388.5970733231
53225554264763.01511018-39209.0151101798
54226839266052.433147036-39213.4331470364
55247934265407.724128608-17473.7241286081
56248333267341.851183893-19008.8511838931
57246969270565.396276035-23596.3962760349
58245098267986.560202322-22888.5602023215
59246263271210.105294463-24947.1052944632
60255765271210.105294463-15445.1052944632
61264319275078.359405033-10759.3594050333
62268347276367.77744189-8020.77744189002
63273046278301.904497175-5255.90449717506
64273963282428.042215116-8465.04221511649
65267430277399.311871375-9969.31187137538
66271993277334.840969533-5341.84096953254
67292710274691.53399397618018.4660060237
68295881271532.45980367724348.5401963226
69293299274498.12128844818800.8787115522


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.004355893609178650.00871178721835730.995644106390821
60.01608330486101610.03216660972203220.983916695138984
70.04102565451291350.0820513090258270.958974345487086
80.1009840231258770.2019680462517540.899015976874123
90.2047420246208270.4094840492416540.795257975379173
100.1928180199110550.385636039822110.807181980088945
110.1369492396912390.2738984793824780.863050760308761
120.09972843589295840.1994568717859170.900271564107042
130.06977693967365870.1395538793473170.930223060326341
140.04620852819196950.0924170563839390.95379147180803
150.02761365643159190.05522731286318390.972386343568408
160.01552478149577990.03104956299155980.98447521850422
170.008849767972533820.01769953594506760.991150232027466
180.005236344583727830.01047268916745570.994763655416272
190.007271496174101290.01454299234820260.992728503825899
200.01377320174124470.02754640348248940.986226798258755
210.02653010890430920.05306021780861840.97346989109569
220.03263627596322320.06527255192644630.967363724036777
230.02546148746225820.05092297492451630.974538512537742
240.01933237124939790.03866474249879580.980667628750602
250.01470170375440010.02940340750880020.9852982962456
260.01189943798376540.02379887596753090.988100562016235
270.008045392991939460.01609078598387890.99195460700806
280.004858560144328460.009717120288656930.995141439855671
290.002954044418716270.005908088837432540.997045955581284
300.001925201607280560.003850403214561110.99807479839272
310.004548910699874110.009097821399748220.995451089300126
320.01111157720428750.02222315440857500.988888422795712
330.03466860062017980.06933720124035960.96533139937982
340.03118180790077830.06236361580155660.968818192099222
350.02863164884458550.0572632976891710.971368351155415
360.02935890291905430.05871780583810860.970641097080946
370.03699836349174210.07399672698348430.963001636508258
380.04424309193523380.08848618387046760.955756908064766
390.05950954815927430.1190190963185490.940490451840726
400.07349066809213460.1469813361842690.926509331907865
410.09459435536023360.1891887107204670.905405644639766
420.1820680796801610.3641361593603220.817931920319839
430.1979202563547510.3958405127095030.802079743645248
440.2235456675618080.4470913351236160.776454332438192
450.2240991732761130.4481983465522250.775900826723887
460.2283245240066580.4566490480133160.771675475993342
470.2404128836734710.4808257673469430.759587116326529
480.2396464966911010.4792929933822020.760353503308899
490.2499466526218830.4998933052437670.750053347378117
500.2520569581661550.504113916332310.747943041833845
510.2563895916323730.5127791832647460.743610408367627
520.2588558729078690.5177117458157380.741144127092131
530.3790198115805280.7580396231610550.620980188419472
540.5469492916506060.9061014166987890.453050708349394
550.4815324559399090.9630649118798180.518467544060091
560.4314712985011720.8629425970023450.568528701498828
570.4548528283484870.9097056566969740.545147171651513
580.498949806070980.997899612141960.50105019392902
590.7023615214875030.5952769570249930.297638478512497
600.8976425063404490.2047149873191020.102357493659551
610.9390036333847580.1219927332304840.0609963666152418
620.940961849014680.1180763019706410.0590381509853206
630.8785280005652740.2429439988694530.121471999434726
640.9144908970681850.1710182058636300.0855091029318149


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level50.0833333333333333NOK
5% type I error level160.266666666666667NOK
10% type I error level280.466666666666667NOK