Multiple Linear Regression - Estimated Regression Equation
Brood[t] = + 86.2737357314677 + 0.0119520172881480Tarwe[t] + 0.136581920664192Meel[t] + 0.0278949529470114Water[t] + 0.0469329787978492Maand[t] + 0.140300419345309t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)86.273735731467713.3309126.471700
Tarwe0.01195201728814800.0023675.04876e-063e-06
Meel0.1365819206641920.0163358.361100
Water0.02789495294701140.1399720.19930.8428280.421414
Maand0.04693297879784920.0336171.39610.1687280.084364
t0.1403004193453090.0241515.809300


Multiple Linear Regression - Regression Statistics
Multiple R0.990026897365883
R-squared0.980153257507916
Adjusted R-squared0.978207498440065
F-TEST (value)503.738244730502
F-TEST (DF numerator)5
F-TEST (DF denominator)51
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.831791597301993
Sum Squared Residuals35.2857403284523


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1104.37105.145565803095-0.775565803094793
2104.89105.569176213467-0.679176213466997
3105.15105.725427370921-0.575427370920549
4105.72106.023937037217-0.303937037217179
5106.38106.561044334310-0.181044334310125
6106.4106.838198061398-0.438198061397531
7106.47107.191684781414-0.721684781414306
8106.59107.288674503132-0.698674503131747
9106.76107.581409877818-0.82140987781762
10107.35107.821229954822-0.471229954822171
11107.81108.219208039872-0.409208039872416
12108.03108.437759353967-0.407759353966971
13109.08108.6772990227440.402700977255563
14109.86109.2424088124320.617591187568046
15110.29109.5727532819560.717246718043745
16110.34109.7810926511650.558907348834577
17110.59109.9663232187160.623676781284248
18110.64110.3236033479070.316396652093057
19110.83110.7691200026380.0608799973616048
20111.51111.2650634492420.244936550758131
21113.32112.7962833629110.523716637088531
22115.89113.8165686715222.07343132847756
23116.51114.6621882445361.84781175546449
24117.44116.8328416595940.6071583404062
25118.25117.7866908024270.463309197573323
26118.65118.752455757907-0.102455757907064
27118.52119.910864359016-1.39086435901611
28119.07119.222444395898-0.152444395897871
29119.12118.9094100027040.210589997296388
30119.28119.780067394395-0.500067394395125
31119.3120.295395313136-0.995395313136101
32119.44120.676531165521-1.23653116552148
33119.57120.424318149681-0.854318149680925
34119.93119.7733421294570.156657870543318
35120.03118.9759965743071.05400342569291
36119.66118.5326749879291.12732501207087
37119.46118.8918909743110.568109025688831
38119.48118.6352116024290.844788397571369
39119.56118.8947179802570.665282019743292
40119.43118.8593804133150.570619586685043
41119.57119.2906612570770.279338742922919
42119.59119.4095741783470.180425821652910
43119.5119.2628561696850.237143830315206
44119.54119.2814370747970.258562925203139
45119.56119.1872787534380.372721246562096
46119.61119.3704292080770.23957079192308
47119.64119.4926661391660.147333860834233
48119.6119.3736156825240.226384317475989
49119.71119.0476463237780.66235367622155
50119.72119.1228602388030.597139761196748
51119.66119.5045766054930.155423394507062
52119.76119.6325732593860.127426740613803
53119.8120.111823314196-0.311823314196292
54119.88120.342021731695-0.462021731695000
55119.78121.122715611642-1.34271561164224
56120.08121.904962255848-1.82496225584834
57120.22122.302049136561-2.08204913656087


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
90.05505755867827990.1101151173565600.94494244132172
100.01697016777908440.03394033555816880.983029832220916
110.01255367317038300.02510734634076610.987446326829617
120.006257984215481520.01251596843096300.993742015784518
130.00203348536412350.0040669707282470.997966514635876
140.0007559689303556470.001511937860711290.999244031069644
150.0002843851731879040.0005687703463758080.999715614826812
169.8821501049854e-050.0001976430020997080.99990117849895
173.78605267089097e-057.57210534178193e-050.999962139473291
183.25076415995316e-056.50152831990632e-050.9999674923584
190.0001820385340427680.0003640770680855370.999817961465957
200.00390034974431260.00780069948862520.996099650255687
210.1831936246626460.3663872493252930.816806375337354
220.3918705946002690.7837411892005380.608129405399731
230.860361299983490.2792774000330210.139638700016511
240.9999884216010172.31567979667903e-051.15783989833952e-05
250.9999997565887954.86822409450409e-072.43411204725205e-07
260.9999998230144633.53971074895282e-071.76985537447641e-07
270.9999999991822961.63540728488648e-098.1770364244324e-10
280.9999999967088316.58233727334204e-093.29116863667102e-09
290.999999988736392.25272199547837e-081.12636099773918e-08
300.9999999644305457.11389105865678e-083.55694552932839e-08
310.999999964191127.16177603627019e-083.58088801813510e-08
320.9999999744268285.11463434041318e-082.55731717020659e-08
330.9999999845825143.08349728975204e-081.54174864487602e-08
340.999999967662516.46749810209132e-083.23374905104566e-08
350.9999999999882722.34553392907448e-111.17276696453724e-11
360.9999999999988362.32867266970921e-121.16433633485460e-12
370.999999999989862.02790167012057e-111.01395083506028e-11
380.9999999999159551.68089901524581e-108.40449507622907e-11
390.9999999998028533.94294645621236e-101.97147322810618e-10
400.9999999989461432.10771356126984e-091.05385678063492e-09
410.9999999947021951.05956107182679e-085.29780535913394e-09
420.9999999635981687.28036631610388e-083.64018315805194e-08
430.9999997698292844.60341432793173e-072.30170716396586e-07
440.999998173307923.65338415838868e-061.82669207919434e-06
450.9999841976393383.16047213247703e-051.58023606623851e-05
460.9998771679202070.0002456641595865760.000122832079793288
470.9991131769506570.001773646098686120.000886823049343059
480.9936495681490250.01270086370194980.00635043185097491


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level320.8NOK
5% type I error level360.9NOK
10% type I error level360.9NOK