Multiple Linear Regression - Estimated Regression Equation
Huwelijken[t] = + 2039.51506352087 -33.8675136116152Dummy[t] -767.591046581972M1[t] -42.7349062310934M2[t] + 89.3212341197802M3[t] + 1046.77737447066M4[t] + 2387.43351482154M5[t] + 2917.66315789474M6[t] + 3000.91929824562M7[t] + 3651.37543859649M8[t] + 2926.43157894737M9[t] + 828.287719298245M10[t] -331.656140350877M11[t] + 7.7438596491228t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)2039.51506352087167.66400712.164300
Dummy-33.8675136116152148.875468-0.22750.8210520.410526
M1-767.591046581972203.545075-3.77110.0004630.000231
M2-42.7349062310934203.215872-0.21030.8343680.417184
M389.3212341197802202.9594560.44010.661930.330965
M41046.77737447066202.7761035.16225e-063e-06
M52387.43351482154202.66601211.780100
M62917.66315789474203.08454614.366700
M73000.91929824562202.681214.806100
M83651.37543859649202.35059218.044800
M92926.43157894737202.09307814.480600
M10828.287719298245201.9089394.10230.0001658.3e-05
M11-331.656140350877201.798374-1.64350.1070980.053549
t7.74385964912283.8572722.00760.0505810.02529


Multiple Linear Regression - Regression Statistics
Multiple R0.983319506786941
R-squared0.966917252427713
Adjusted R-squared0.957567780287719
F-TEST (value)103.419448493946
F-TEST (DF numerator)13
F-TEST (DF denominator)46
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation319.012951593109
Sum Squared Residuals4681386.11107077


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
111781279.66787658802-101.667876588022
221412012.26787658802128.732123411979
322382152.0678765880285.93212341198
426853117.26787658802-432.267876588023
543414465.66787658802-124.667876588015
653765003.64137931035372.358620689652
744785094.64137931034-616.64137931034
864045752.84137931035651.158620689654
946175035.64137931035-418.641379310348
1030242945.2413793103578.7586206896523
1118971793.04137931035103.958620689654
1220752132.44137931034-57.4413793103445
1313511372.59419237750-21.5941923774956
1422112105.19419237750105.805807622505
1524532244.99419237750208.005807622504
1630423210.19419237749-168.194192377495
1747654558.5941923775206.405807622503
1849925062.7001814882-70.7001814882028
1946015153.7001814882-552.700181488204
2062665811.9001814882454.099818511798
2148125094.7001814882-282.700181488202
2231593004.30018148820154.699818511797
2319161852.1001814882063.8998185117969
2422372191.5001814882045.499818511797
2515951431.65299455535163.347005444646
2624532164.25299455535288.747005444646
2722262304.05299455535-78.0529945553543
2835973269.25299455535327.747005444646
2947064617.6529945553688.3470054446444
3049745155.62649727768-181.626497277676
3157565246.62649727768509.373502722322
3254935904.82649727768-411.826497277677
3350045187.62649727768-183.626497277676
3432253097.22649727768127.773502722324
3520061945.0264972776860.9735027223232
3622912284.426497277686.57350272232332
3715881524.5793103448363.4206896551723
3821052257.17931034483-152.179310344828
3921912396.97931034483-205.979310344828
4035913362.17931034483228.820689655173
4146684710.57931034483-42.5793103448292
4248855248.55281306715-363.55281306715
4358225339.55281306715482.447186932848
4455995997.75281306715-398.75281306715
4553405280.5528130671559.4471869328502
4630823190.15281306715-108.15281306715
4720102037.95281306715-27.9528130671504
4823012377.35281306715-76.3528130671503
4915141617.5056261343-103.505626134301
5019792350.1056261343-371.105626134301
5124802489.9056261343-9.90562613430169
5234993455.105626134343.8943738656991
5346764803.5056261343-127.505626134303
5455855341.47912885662243.520871143376
5556105432.47912885663177.520871143374
5657966090.67912885662-294.679128856624
5761995373.47912885662825.520871143377
5830303283.07912885662-253.079128856624
5919302130.87912885662-200.879128856624
6025522470.2791288566281.720871143376