Multiple Linear Regression - Estimated Regression Equation
productie*dummy[t] = + 94.7630816505707 -0.785332289956865t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)94.763081650570712.737557.439700
t-0.7853322899568650.320905-2.44720.0170650.008532


Multiple Linear Regression - Regression Statistics
Multiple R0.288432188539708
R-squared0.0831931273858054
Adjusted R-squared0.0693021141643783
F-TEST (value)5.98898914425322
F-TEST (DF numerator)1
F-TEST (DF denominator)66
p-value0.0170646975583272
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation51.9400629338067
Sum Squared Residuals178052.829079475


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1093.9777493606139-93.9777493606139
2093.192417070657-93.192417070657
3104.792.407084780712.2929152192999
4102.891.621752490743211.1782475092568
5090.8364202007863-90.8364202007863
6113.990.051087910829523.8489120891705
7089.2657556208726-89.2657556208726
8088.4804233309158-88.4804233309158
9113.287.695091040958925.5049089590411
10105.986.90975875100218.990241248998
11108.886.124426461045222.6755735389548
12102.385.339094171088316.9609058289117
13084.5537618811314-84.5537618811314
14100.783.768429591174616.9315704088254
15115.582.983097301217732.5169026987823
16100.782.197765011260818.5022349887392
17109.981.41243272130428.487567278696
18114.680.627100431347133.9728995686529
19079.8417681413902-79.8417681413902
20100.579.056435851433421.4435641485666
21114.878.271103561476536.5288964385235
22116.577.485771271519639.0142287284804
23112.976.700438981562836.1995610184372
2410275.915106691605926.0848933083941
2510675.12977440164930.870225598351
26105.374.344442111692230.9555578883078
27118.873.559109821735345.2408901782647
28106.172.773777531778433.3262224682215
29109.371.988445241821637.3115547581784
30117.271.203112951864745.9968870481353
31070.4177806619079-70.4177806619079
32104.269.63244837195134.567551628049
33112.568.847116081994143.6528839180059
34122.468.061783792037354.3382162079628
35113.367.276451502080446.0235484979196
3610066.491119212123533.5088807878765
37110.765.705786922166744.9942130778333
38112.864.920454632209847.8795453677902
39109.864.135122342252945.6648776577471
40117.363.349790052296153.9502099477039
41109.162.564457762339246.5355422376608
42115.961.779125472382354.1208745276177
43060.9937931824255-60.9937931824255
44060.2084608924686-60.2084608924686
45116.859.423128602511757.3768713974883
46115.758.637796312554957.0622036874451
47057.852464022598-57.852464022598
48057.0671317326411-57.0671317326411
49056.2817994426843-56.2817994426843
50055.4964671527274-55.4964671527274
51103.154.711134862770548.3888651372294
52053.9258025728137-53.9258025728137
53053.1404702828568-53.1404702828568
54102.752.355137992950.3448620071
55051.5698057029431-51.5698057029431
56050.7844734129862-50.7844734129862
57104.549.999141123029454.5008588769706
58105.149.213808833072555.8861911669275
59048.4284765431156-48.4284765431156
60047.6431442531588-47.6431442531588
61046.8578119632019-46.8578119632019
62046.072479673245-46.072479673245
63111.545.287147383288266.2128526167118
64044.5018150933313-44.5018150933313
65043.7164828033744-43.7164828033744
66111.742.931150513417668.7688494865824
67042.1458182234607-42.1458182234607
68041.3604859335038-41.3604859335038


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.8099967715654480.3800064568691040.190003228434552
60.7167309323678130.5665381352643740.283269067632187
70.8449972616338380.3100054767323230.155002738366162
80.8641193514647480.2717612970705030.135880648535252
90.8685673346937790.2628653306124420.131432665306221
100.8212768226308030.3574463547383940.178723177369197
110.753320061530320.4933598769393610.246679938469681
120.6691759531075080.6616480937849840.330824046892492
130.8626870782058510.2746258435882980.137312921794149
140.8133182982859850.373363403428030.186681701714015
150.7574609134982520.4850781730034970.242539086501748
160.6873333951727090.6253332096545820.312666604827291
170.6091923748363410.7816152503273170.390807625163659
180.5271267687952270.9457464624095460.472873231204773
190.8148979642474250.3702040715051510.185102035752575
200.7618157122698590.4763685754602830.238184287730141
210.7008444660284960.5983110679430070.299155533971504
220.6324423582271480.7351152835457030.367557641772852
230.5585810608869770.8828378782260460.441418939113023
240.4883280614290340.9766561228580680.511671938570966
250.4164948804883710.8329897609767430.583505119511629
260.3485975031137940.6971950062275880.651402496886206
270.2833832871276050.5667665742552090.716616712872395
280.2279445290702850.4558890581405690.772055470929715
290.1786845914649770.3573691829299540.821315408535023
300.1369594099134070.2739188198268140.863040590086593
310.4064528613724140.8129057227448270.593547138627586
320.3393963213274990.6787926426549980.660603678672501
330.2772677300586820.5545354601173650.722732269941318
340.2269344456971690.4538688913943380.773065554302831
350.1802980297004320.3605960594008640.819701970299568
360.1412006074933920.2824012149867840.858799392506608
370.1097636784238570.2195273568477140.890236321576143
380.08637086695246880.1727417339049380.913629133047531
390.06871293435238990.137425868704780.93128706564761
400.05973346375979410.1194669275195880.940266536240206
410.05328915369856250.1065783073971250.946710846301438
420.05695778439314250.1139155687862850.943042215606858
430.1296643150566430.2593286301132860.870335684943357
440.2069435654700370.4138871309400740.793056434529963
450.2241190584397810.4482381168795620.775880941560219
460.2831987888597570.5663975777195150.716801211140243
470.3341374144917380.6682748289834760.665862585508262
480.3652064883012330.7304129766024650.634793511698768
490.3850139451101270.7700278902202530.614986054889873
500.4027823950249740.8055647900499490.597217604975026
510.4090736906174660.8181473812349320.590926309382534
520.4042492051848220.8084984103696430.595750794815178
530.4089689448568790.8179378897137570.591031055143121
540.4106543689058950.821308737811790.589345631094105
550.3931436530478390.7862873060956780.606856346952161
560.4005442945176680.8010885890353370.599455705482332
570.3953544146569680.7907088293139360.604645585343032
580.5138593723263330.9722812553473340.486140627673667
590.4247046814033510.8494093628067030.575295318596649
600.3410777028544040.6821554057088080.658922297145596
610.2810642091432510.5621284182865020.718935790856749
620.2882313906362020.5764627812724030.711768609363798
630.3070491958229960.6140983916459920.692950804177004


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level00OK
10% type I error level00OK