Multiple Linear Regression - Estimated Regression Equation
WLHvrouwen[t] = + 7.83862660944206 + 1.15493562231760x[t] + 0.295171673819742M1[t] + 0.195171673819742M2[t] + 0.0201716738197424M3[t] -0.417328326180258M4[t] -0.542328326180258M5[t] -0.467328326180258M6[t] + 0.532671673819742M7[t] + 0.782671673819742M8[t] + 0.632671673819743M9[t] + 0.493562231759657M10[t] + 1.33118141655746e-16M11[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)7.838626609442060.24687631.751200
x1.154935622317600.139948.253100
M10.2951716738197420.2958460.99770.3214240.160712
M20.1951716738197420.2958460.65970.5113370.255669
M30.02017167381974240.2958460.06820.945810.472905
M4-0.4173283261802580.295846-1.41060.1622320.081116
M5-0.5423283261802580.295846-1.83310.0705010.035251
M6-0.4673283261802580.295846-1.57960.1181370.059069
M70.5326716738197420.2958461.80050.0755510.037775
M80.7826716738197420.2958462.64550.0098160.004908
M90.6326716738197430.2958462.13850.0355260.017763
M100.4935622317596570.305811.61390.1104760.055238
M111.33118141655746e-160.305156010.5


Multiple Linear Regression - Regression Statistics
Multiple R0.77358967571846
R-squared0.598440986378192
Adjusted R-squared0.53820713433492
F-TEST (value)9.93529329567498
F-TEST (DF numerator)12
F-TEST (DF denominator)80
p-value1.440192409774e-11
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.57089514926931
Sum Squared Residuals26.0737017167382


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
18.78.13379828326180.566201716738197
28.58.03379828326180.466201716738196
38.27.85879828326180.341201716738197
48.37.42129828326180.878701716738198
587.29629828326180.703701716738198
68.17.37129828326180.728701716738197
78.78.37129828326180.328701716738197
89.38.62129828326180.678701716738198
98.98.47129828326180.428701716738198
108.88.332188841201720.467811158798284
118.47.838626609442060.56137339055794
128.47.838626609442060.56137339055794
137.38.1337982832618-0.833798283261802
147.28.0337982832618-0.833798283261802
1577.8587982832618-0.858798283261803
1677.4212982832618-0.421298283261803
176.97.2962982832618-0.396298283261802
186.97.3712982832618-0.471298283261802
197.18.3712982832618-1.27129828326180
207.58.6212982832618-1.12129828326180
217.48.4712982832618-1.07129828326180
228.98.332188841201720.567811158798283
238.38.99356223175966-0.693562231759656
248.38.99356223175966-0.693562231759656
2599.2887339055794-0.288733905579399
268.99.1887339055794-0.288733905579399
278.89.0137339055794-0.213733905579399
287.88.5762339055794-0.776233905579399
297.88.4512339055794-0.651233905579399
307.88.5262339055794-0.726233905579399
319.29.5262339055794-0.326233905579400
329.39.7762339055794-0.476233905579399
339.29.6262339055794-0.4262339055794
348.69.48712446351931-0.887124463519314
358.58.99356223175966-0.493562231759657
368.58.99356223175966-0.493562231759657
3799.2887339055794-0.288733905579399
3899.1887339055794-0.188733905579399
398.89.0137339055794-0.213733905579399
4088.5762339055794-0.576233905579399
417.98.4512339055794-0.551233905579399
428.18.5262339055794-0.426233905579399
439.39.5262339055794-0.226233905579398
449.49.7762339055794-0.376233905579399
459.49.6262339055794-0.226233905579399
469.39.48712446351931-0.187124463519313
4798.993562231759660.00643776824034309
489.18.993562231759660.106437768240343
499.79.28873390557940.4112660944206
509.79.18873390557940.5112660944206
519.69.01373390557940.5862660944206
528.38.5762339055794-0.276233905579399
538.28.4512339055794-0.2512339055794
548.48.5262339055794-0.126233905579399
5510.69.52623390557941.0737660944206
5610.99.77623390557941.1237660944206
5710.99.62623390557941.2737660944206
589.69.487124463519310.112875536480686
599.38.993562231759660.306437768240344
609.38.993562231759660.306437768240344
619.69.28873390557940.311266094420601
629.59.18873390557940.311266094420601
639.59.01373390557940.486266094420601
6498.57623390557940.423766094420601
658.98.45123390557940.448766094420601
6698.52623390557940.473766094420601
6710.19.52623390557940.573766094420601
6810.29.77623390557940.4237660944206
6910.29.62623390557940.5737660944206
709.59.487124463519310.0128755364806864
719.38.993562231759660.306437768240344
729.38.993562231759660.306437768240344
739.49.28873390557940.111266094420601
749.39.18873390557940.111266094420601
759.19.01373390557940.0862660944206004
7698.57623390557940.423766094420601
778.98.45123390557940.448766094420601
7898.52623390557940.473766094420601
799.89.52623390557940.273766094420602
80109.77623390557940.223766094420601
819.89.62623390557940.173766094420601
829.49.48712446351931-0.0871244635193132
8398.993562231759660.00643776824034309
848.98.99356223175966-0.0935622317596566
859.39.28873390557940.0112660944206016
869.19.1887339055794-0.0887339055793996
878.89.0137339055794-0.213733905579399
888.98.57623390557940.323766094420601
898.78.45123390557940.2487660944206
908.68.52623390557940.0737660944206005
919.19.5262339055794-0.426233905579399
929.39.7762339055794-0.476233905579399
938.99.6262339055794-0.726233905579399