Multiple Linear Regression - Estimated Regression Equation
Huwelijken[t] = + 2028.02504347826 + 51.1426086956523`x `[t] -767.85843478261M1[t] -51.6608695652176M2[t] + 81.965217391304M3[t] + 1040.99130434783M4[t] + 2383.21739130435M5[t] + 2908.24347826087M6[t] + 2993.06956521739M7[t] + 3645.09565217391M8[t] + 2921.72173913043M9[t] + 825.147826086957M10[t] -333.226086956522M11[t] + 6.17391304347827t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)2028.02504347826169.09327811.993500
`x `51.1426086956523145.622240.35120.7270410.363521
M1-767.85843478261203.366082-3.77570.0004560.000228
M2-51.6608695652176204.625781-0.25250.8018060.400903
M381.965217391304204.0552480.40170.6897790.344889
M41040.99130434783203.5434155.11436e-063e-06
M52383.21739130435203.09072711.734700
M62908.24347826087202.6975814.347700
M72993.06956521739202.3643214.790500
M83645.09565217391202.09124418.036900
M92921.72173913043201.87859614.472700
M10825.147826086957201.7265684.09040.0001728.6e-05
M11-333.226086956522201.635296-1.65260.1052190.05261
t6.173913043478273.5031271.76240.0846450.042323


Multiple Linear Regression - Regression Statistics
Multiple R0.983345616767098
R-squared0.966968602015064
Adjusted R-squared0.957633641714973
F-TEST (value)103.585721945243
F-TEST (DF numerator)13
F-TEST (DF denominator)46
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation318.765276504085
Sum Squared Residuals4674119.8692174


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
111781266.34052173913-88.3405217391346
221411988.712152.288000000000
322382128.512109.487999999999
426853093.712-408.712
543414442.112-101.111999999999
653764973.312402.687999999999
744785064.312-586.312000000001
864045722.512681.488000000001
946175005.312-388.312000000001
1030242914.912109.088000000001
1118971762.712134.288000000001
1220752102.112-27.1119999999993
1313511340.4274782608710.5725217391319
1422112113.9415652173997.0584347826086
1524532253.74156521739199.258434782609
1630423218.94156521739-176.941565217391
1747654567.34156521739197.658434782609
1849925098.54156521739-106.541565217391
1946015189.54156521739-588.541565217391
2062665847.74156521739418.258434782608
2148125130.54156521739-318.541565217391
2231593040.14156521739118.858434782609
2319161887.9415652173928.0584347826086
2422372227.341565217399.65843478260848
2515951465.65704347826129.342956521740
2624532188.02852173913264.971478260870
2722262327.82852173913-101.828521739130
2835973293.02852173913303.971478260870
2947064641.4285217391364.5714782608694
3049745172.62852173913-198.628521739130
3157565263.62852173913492.37147826087
3254935921.82852173913-428.828521739131
3350045204.62852173913-200.628521739130
3432253114.22852173913110.771478260869
3520061962.0285217391343.9714782608692
3622912301.42852173913-10.4285217391307
3715881539.74448.2560000000009
3821052262.11547826087-157.115478260870
3921912401.91547826087-210.915478260870
4035913367.11547826087223.884521739130
4146684715.51547826087-47.5154782608697
4248855246.71547826087-361.715478260869
4358225337.71547826087484.284521739131
4455995995.91547826087-396.91547826087
4553405278.7154782608761.2845217391304
4630823188.31547826087-106.315478260870
4720102036.11547826087-26.1154782608700
4823012375.51547826087-74.5154782608699
4915141613.83095652174-99.8309565217383
5019792336.20243478261-357.202434782609
5124802476.002434782613.99756521739145
5234993441.2024347826157.7975652173911
5346764789.60243478261-113.602434782609
5455855320.80243478261264.197565217391
5556105411.80243478261198.197565217392
5657966070.00243478261-274.002434782609
5761995352.80243478261846.197565217392
5830303262.40243478261-232.402434782609
5919302110.20243478261-180.202434782609
6025522449.60243478261102.397565217391