Multiple Linear Regression - Estimated Regression Equation
Huwelijken[t] = + 2132.44137931034 + 198.448275862069Dummy[t] -806.310344827587M1[t] -73.7103448275845M2[t] + 66.0896551724116M3[t] + 1031.28965517242M4[t] + 2379.68965517241M5[t] + 2871.2M6[t] + 2962.20000000000M7[t] + 3620.4M8[t] + 2903.2M9[t] + 812.8M10[t] -339.4M11[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)2132.44137931034166.26218612.825800
Dummy198.44827586206996.6379332.05350.0456090.022805
M1-806.310344827587209.059813-3.85680.0003480.000174
M2-73.7103448275845209.059813-0.35260.7259790.36299
M366.0896551724116209.0598130.31610.7533050.376653
M41031.28965517242209.0598134.9331.1e-055e-06
M52379.68965517241209.05981311.382800
M62871.2208.16447813.792900
M72962.20000000000208.16447814.230100
M83620.4208.16447817.39200
M92903.2208.16447813.946700
M10812.8208.1644783.90463e-040.00015
M11-339.4208.164478-1.63040.1096930.054846


Multiple Linear Regression - Regression Statistics
Multiple R0.981844481859706
R-squared0.964018586558354
Adjusted R-squared0.954831842700913
F-TEST (value)104.935829442711
F-TEST (DF numerator)12
F-TEST (DF denominator)47
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation329.136939390896
Sum Squared Residuals5091562.86896551


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
111781326.13103448276-148.131034482759
221412058.7310344827682.2689655172425
322382198.5310344827639.4689655172429
426853163.73103448276-478.73103448276
543414512.13103448275-171.131034482752
653765003.64137931035372.358620689652
744785094.64137931034-616.64137931034
864045752.84137931035651.158620689654
946175035.64137931035-418.641379310348
1030242945.2413793103578.7586206896522
1118971793.04137931035103.958620689654
1220752132.44137931034-57.4413793103445
1313511326.1310344827624.8689655172416
1422112058.73103448276152.268965517241
1524532198.53103448276254.468965517241
1630423163.73103448276-121.731034482758
1747654512.13103448276252.86896551724
1849925202.08965517241-210.089655172413
1946015293.08965517242-692.089655172415
2062665951.28965517241314.710344827587
2148125234.08965517241-422.089655172413
2231593143.6896551724115.3103448275869
2319161991.48965517241-75.4896551724136
2422372330.88965517241-93.8896551724135
2515951524.5793103448370.4206896551726
2624532257.17931034483195.820689655172
2722262396.97931034483-170.979310344828
2835973362.17931034483234.820689655173
2947064710.57931034483-4.57931034482927
3049745202.08965517241-228.089655172413
3157565293.08965517241462.910344827585
3254935951.28965517241-458.289655172414
3350045234.08965517241-230.089655172413
3432253143.6896551724181.310344827587
3520061991.4896551724114.5103448275864
3622912330.88965517241-39.8896551724135
3715881524.5793103448363.4206896551726
3821052257.17931034483-152.179310344828
3921912396.97931034483-205.979310344828
4035913362.17931034483228.820689655173
4146684710.57931034483-42.5793103448292
4248855202.08965517241-317.089655172413
4358225293.08965517242528.910344827585
4455995951.28965517241-352.289655172414
4553405234.08965517241105.910344827587
4630823143.68965517241-61.6896551724131
4720101991.4896551724118.5103448275864
4823012330.88965517241-29.8896551724135
4915141524.57931034483-10.5793103448274
5019792257.17931034483-278.179310344828
5124802396.9793103448383.020689655172
5234993362.17931034483136.820689655173
5346764710.57931034483-34.5793103448293
5455855202.08965517241382.910344827586
5556105293.08965517242316.910344827585
5657965951.28965517241-155.289655172414
5761995234.08965517241964.910344827587
5830303143.68965517241-113.689655172413
5919301991.48965517241-61.4896551724136
6025522330.88965517241221.110344827587