Multiple Linear Regression - Estimated Regression Equation
maanden[t] = + 7.08579530057502 + 2.49554042294913e-06gemiddeldetemperatuur[t] -0.00779838678952947aantaldagenzonneschijn[t] + 0.00876250532166617aantaldagenregen[t] + 0.0576395321590154aantaldagenonweer[t] -0.0467467520537699aantaldagensneeuw[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)7.085795300575023.3674132.10420.0395570.019779
gemiddeldetemperatuur2.49554042294913e-061.5e-050.16920.8662440.433122
aantaldagenzonneschijn-0.007798386789529470.012595-0.61920.5381540.269077
aantaldagenregen0.008762505321666170.1498680.05850.953570.476785
aantaldagenonweer0.05763953215901540.1288350.44740.6562030.328102
aantaldagensneeuw-0.04674675205376990.145511-0.32130.7491310.374565


Multiple Linear Regression - Regression Statistics
Multiple R0.162446509353474
R-squared0.0263888684011284
Adjusted R-squared-0.0547453925654442
F-TEST (value)0.325249384005613
F-TEST (DF numerator)5
F-TEST (DF denominator)60
p-value0.89584792733891
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation3.47519174659079
Sum Squared Residuals724.617460534366


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
146.14505598550167-2.14505598550167
257.7104344838959-2.7104344838959
375.618642591788241.38135740821176
488.37704181238276-0.37704181238276
596.579156338430572.42084366156943
6106.738404747402273.26159525259773
7116.762500396874634.23749960312537
8126.942492428577585.05750757142242
917.17775949372438-6.17775949372438
1027.006279424671-5.006279424671
1136.04460416953195-3.04460416953195
1245.04400773505375-1.04400773505375
1356.80662486928524-1.80662486928524
1467.21840833770852-1.21840833770852
1576.662403921350260.337596078649738
1686.606388844874821.39361115512518
1796.826273458633222.17372654136678
18106.554944394521573.44505560547843
19116.89176244116584.1082375588342
20127.052243251089454.94775674891055
2117.03614759787965-6.03614759787965
2226.32267879753678-4.32267879753678
2336.89970984140741-3.89970984140741
2446.73210668860796-2.73210668860796
2556.13011035566218-1.13011035566218
2666.3762902215609-0.376290221560892
2776.656535768057340.343464231942656
2886.925463364310261.07453663568974
2996.312470768998912.68752923100109
30106.553249605385083.44675039461492
31117.388016106645443.61198389335456
32126.605558567157755.39444143284225
3316.50151344220193-5.50151344220193
3426.85719734578959-4.85719734578959
3536.19235459340948-3.19235459340948
3646.26517558549768-2.26517558549768
3756.57870138525243-1.57870138525243
3866.24233884490195-0.242338844901947
3976.645345653096290.354654346903712
4085.736916178635312.26308382136469
4196.245109104958852.75489089504115
42106.828927327177083.17107267282292
43117.334036299574483.66596370042552
44126.68161614637725.31838385362281
4516.68221107180657-5.68221107180657
4626.84083744513761-4.84083744513761
4736.59729655650814-3.59729655650814
4845.86047203977843-1.86047203977843
4956.22081137707564-1.22081137707564
5065.325636075651820.674363924348176
5175.926239943282121.07376005671788
5287.091387726169760.908612273830239
5396.597301166197962.40269883380204
54106.651649390239783.34835060976022
55116.867619258803814.13238074119619
56126.038736162927885.96126383707212
5716.6773147732211-5.6773147732211
5826.74938671762994-4.74938671762994
5935.50953439637016-2.50953439637016
6045.90259731191546-1.90259731191546
6155.62467645946364-0.62467645946364
6266.77084771919473-0.77084771919473
6376.745706506711150.254293493288855
6487.020238875193990.979761124806014
6596.285456872892192.71454312710781
66106.201043437282623.79895656271738


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
90.4414443201138750.882888640227750.558555679886125
100.9140735275827960.1718529448344070.0859264724172036
110.853912868267510.2921742634649790.14608713173249
120.9021216115115040.1957567769769920.0978783884884958
130.843670435671710.3126591286565790.156329564328289
140.784427751558910.4311444968821810.21557224844109
150.7086066193740160.5827867612519670.291393380625984
160.6228753650490230.7542492699019540.377124634950977
170.5336356650800780.9327286698398430.466364334919922
180.450730266389710.9014605327794190.54926973361029
190.5017535977258390.9964928045483220.498246402274161
200.6708448696689810.6583102606620370.329155130331019
210.8534505888650670.2930988222698660.146549411134933
220.921859225623170.156281548753660.0781407743768298
230.9101426922478720.1797146155042550.0898573077521275
240.8997804718872910.2004390562254180.100219528112709
250.8630531971567980.2738936056864050.136946802843202
260.8191434278997230.3617131442005530.180856572100277
270.772870207226470.4542595855470590.22712979277353
280.7291006621988490.5417986756023020.270899337801151
290.675835937051040.6483281258979210.32416406294896
300.7137891726053270.5724216547893460.286210827394673
310.7979322174647430.4041355650705140.202067782535257
320.921565879927730.1568682401445410.0784341200722707
330.929052196077360.1418956078452790.0709478039226393
340.9493414908068370.1013170183863250.0506585091931626
350.9316015049631930.1367969900736150.0683984950368074
360.9062254820103690.1875490359792630.0937745179896313
370.8696582759241240.2606834481517510.130341724075876
380.822200889085110.3555982218297820.177799110914891
390.7703454081740490.4593091836519010.229654591825951
400.7176377591457830.5647244817084340.282362240854217
410.6574512856613170.6850974286773660.342548714338683
420.6050978182338230.7898043635323540.394902181766177
430.6685876746970810.6628246506058380.331412325302919
440.8988942309305750.202211538138850.101105769069425
450.8837700767209370.2324598465581260.116229923279063
460.9189091245079310.1621817509841390.0810908754920693
470.895155726920230.2096885461595420.104844273079771
480.8526284823031290.2947430353937420.147371517696871
490.7902751809325790.4194496381348420.209724819067421
500.7560721274475570.4878557451048860.243927872552443
510.7821447527563810.4357104944872380.217855247243619
520.6899554489671580.6200891020656840.310044551032842
530.5875967800774420.8248064398451160.412403219922558
540.828213008139690.343573983720620.17178699186031
550.8983410056611350.203317988677730.101658994338865
560.937170267725330.1256594645493390.0628297322746697
570.8665783052939180.2668433894121650.133421694706082


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