Multiple Linear Regression - Estimated Regression Equation
Consumentenvertrouwen[t] = + 84.8823529411764 -37.1515837104072Dummy[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)84.88235294117641.8787645.1800
Dummy-37.15158371040722.854041-13.017200


Multiple Linear Regression - Regression Statistics
Multiple R0.863131319876742
R-squared0.744995675352167
Adjusted R-squared0.740599049065136
F-TEST (value)169.447123024676
F-TEST (DF numerator)1
F-TEST (DF denominator)58
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation10.9549585658261
Sum Squared Residuals6960.64479638009


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
18484.8823529411765-0.88235294117653
27884.8823529411765-6.88235294117655
37484.8823529411765-10.8823529411765
47584.8823529411765-9.88235294117647
57984.8823529411765-5.88235294117647
67984.8823529411765-5.88235294117647
78284.8823529411765-2.88235294117647
88884.88235294117653.11764705882353
98184.8823529411765-3.88235294117647
106947.730769230769221.2692307692308
116247.730769230769214.2692307692308
126247.730769230769214.2692307692308
136847.730769230769220.2692307692308
145747.73076923076929.26923076923077
156747.730769230769219.2692307692308
167284.8823529411765-12.8823529411765
177584.8823529411765-9.88235294117647
188184.8823529411765-3.88235294117647
198084.8823529411765-4.88235294117647
207984.8823529411765-5.88235294117647
218184.8823529411765-3.88235294117647
228384.8823529411765-1.88235294117647
238484.8823529411765-0.882352941176466
249084.88235294117655.11764705882353
258484.8823529411765-0.882352941176466
269084.88235294117655.11764705882353
279284.88235294117657.11764705882353
289384.88235294117658.11764705882353
298584.88235294117650.117647058823534
309384.88235294117658.11764705882353
319484.88235294117659.11764705882353
329484.88235294117659.11764705882353
3310284.882352941176517.1176470588235
349684.882352941176511.1176470588235
359684.882352941176511.1176470588235
369284.88235294117657.11764705882353
379084.88235294117655.11764705882353
388484.8823529411765-0.882352941176466
398684.88235294117651.11764705882353
407084.8823529411765-14.8823529411765
416747.730769230769219.2692307692308
426047.730769230769212.2692307692308
436247.730769230769214.2692307692308
446147.730769230769213.2692307692308
455447.73076923076926.26923076923077
465047.73076923076922.26923076923077
474547.7307692307692-2.73076923076923
483447.7307692307692-13.7307692307692
493747.7307692307692-10.7307692307692
504447.7307692307692-3.73076923076923
513447.7307692307692-13.7307692307692
523747.7307692307692-10.7307692307692
533147.7307692307692-16.7307692307692
543147.7307692307692-16.7307692307692
552847.7307692307692-19.7307692307692
563147.7307692307692-16.7307692307692
573347.7307692307692-14.7307692307692
583647.7307692307692-11.7307692307692
593947.7307692307692-8.73076923076923
604247.7307692307692-5.73076923076923


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.08080384694572020.1616076938914400.91919615305428
60.02693154505005900.05386309010011790.973068454949941
70.01203944084956230.02407888169912460.987960559150438
80.02233152196562410.04466304393124820.977668478034376
90.00876432307437470.01752864614874940.991235676925625
100.004041236035807900.008082472071615790.995958763964192
110.002924785379666670.005849570759333340.997075214620333
120.001545244133954770.003090488267909540.998454755866045
130.001120665171264450.002241330342528900.998879334828735
140.001638653988299260.003277307976598530.9983613460117
150.001499571609228710.002999143218457430.998500428390771
160.002455844352696800.004911688705393610.997544155647303
170.001796503115727640.003593006231455270.998203496884272
180.000927373783725850.00185474756745170.999072626216274
190.0004563070423127990.0009126140846255980.999543692957687
200.0002270508684301970.0004541017368603940.99977294913157
210.0001139412187813130.0002278824375626250.999886058781219
226.72738559719893e-050.0001345477119439790.999932726144028
234.43567446317935e-058.87134892635869e-050.999955643255368
240.0001243926292585480.0002487852585170950.999875607370741
257.27654935084346e-050.0001455309870168690.999927234506492
260.0001243109099006820.0002486218198013630.9998756890901
270.0002671747765864870.0005343495531729750.999732825223413
280.0005237277856641360.001047455571328270.999476272214336
290.0002964401422237650.0005928802844475290.999703559857776
300.0004386493444626050.000877298688925210.999561350655537
310.0006557269193324240.001311453838664850.999344273080668
320.0008329755761319950.001665951152263990.999167024423868
330.004874693763688740.009749387527377490.995125306236311
340.00630305739394030.01260611478788060.99369694260606
350.008084677248943040.01616935449788610.991915322751057
360.006797496711821720.01359499342364340.993202503288178
370.005168857658041090.01033771531608220.994831142341959
380.003119971319953650.00623994263990730.996880028680046
390.002456953114152610.004913906228305220.997543046885847
400.003407373015666330.006814746031332660.996592626984334
410.01237922583506010.02475845167012020.98762077416494
420.02523987615393410.05047975230786820.974760123846066
430.0870389222907050.174077844581410.912961077709295
440.3429951581587530.6859903163175050.657004841841247
450.649576859121620.7008462817567590.350423140878379
460.8722098342815750.2555803314368500.127790165718425
470.9455893724152550.1088212551694900.0544106275847452
480.955682285425300.08863542914940210.0443177145747011
490.947933751616960.1041324967660810.0520662483830406
500.9756455176250030.04870896474999370.0243544823749969
510.962483143918620.07503371216276120.0375168560813806
520.9413362897057970.1173274205884070.0586637102942035
530.9129686343861820.1740627312276360.0870313656138179
540.865289610449280.2694207791014380.134710389550719
550.8752542653238770.2494914693522450.124745734676123


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level270.529411764705882NOK
5% type I error level360.705882352941177NOK
10% type I error level400.784313725490196NOK