Multiple Linear Regression - Estimated Regression Equation
WLHvrouwen[t] = + 7.78274496865721 + 0.820381062355658x[t] + 0.295018489497414M1[t] + 0.187880100076984M2[t] + 0.00574171065655037M3[t] -0.438896678763882M4[t] -0.571035068184316M5[t] -0.503173457604751M6[t] + 0.489688152974816M7[t] + 0.732549763554384M8[t] + 0.575411374133950M9[t] + 0.460045502034533M10[t] + 0.0071383894204342M11[t] + 0.0071383894204333t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)7.782744968657210.24236232.11200
x0.8203810623556580.203574.030.0001286.4e-05
M10.2950184894974140.2888621.02130.3102240.155112
M20.1878801000769840.2888810.65040.5173390.258669
M30.005741710656550370.2889360.01990.9841960.492098
M4-0.4388966787638820.289026-1.51850.1328710.066436
M5-0.5710350681843160.289152-1.97490.0517780.025889
M6-0.5031734576047510.289314-1.73920.0858960.042948
M70.4896881529748160.2895121.69140.0946970.047349
M80.7325497635543840.2897462.52830.0134560.006728
M90.5754113741339500.2900151.98410.050720.02536
M100.4600455020345330.2989731.53880.1278610.063931
M110.00713838942043420.297970.0240.9809480.490474
t0.00713838942043330.003222.21710.0294940.014747


Multiple Linear Regression - Regression Statistics
Multiple R0.788645798693523
R-squared0.621962195796944
Adjusted R-squared0.559753443206568
F-TEST (value)9.99798533001226
F-TEST (DF numerator)13
F-TEST (DF denominator)79
p-value5.30164800949251e-12
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.557417664560849
Sum Squared Residuals24.5464417683932


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
18.78.084901847575080.615098152424921
28.57.984901847575050.515098152424946
38.27.809901847575060.390098152424942
48.37.372401847575060.927598152424945
587.247401847575060.752598152424943
68.17.322401847575060.777598152424941
78.78.322401847575060.37759815242494
89.38.572401847575050.727598152424946
98.98.422401847575060.477598152424943
108.88.314174364896070.485825635103928
118.47.868405641702410.531594358297592
128.47.86840564170240.531594358297594
137.38.17056252062025-0.870562520620254
147.28.07056252062026-0.870562520620258
1577.89556252062026-0.895562520620256
1677.45806252062026-0.458062520620257
176.97.33306252062026-0.433062520620256
186.97.40806252062026-0.508062520620256
197.18.40806252062026-1.30806252062026
207.58.65806252062026-1.15806252062026
217.48.50806252062026-1.10806252062026
228.98.399835037941270.500164962058728
238.38.77444737710327-0.474447377103266
248.38.77444737710326-0.474447377103265
2599.07660425602111-0.0766042560211122
268.98.97660425602112-0.0766042560211162
278.88.80160425602111-0.00160425602111462
287.88.36410425602112-0.564104256021116
297.88.23910425602111-0.439104256021115
307.88.31410425602112-0.514104256021115
319.29.31410425602111-0.114104256021115
329.39.56410425602112-0.264104256021115
339.29.41410425602112-0.214104256021116
348.69.30587677334213-0.705876773342132
358.58.86010805014847-0.360108050148466
368.58.86010805014847-0.360108050148465
3799.16226492906631-0.162264929066312
3899.06226492906632-0.0622649290663162
398.88.88726492906632-0.0872649290663143
4088.44976492906632-0.449764929066315
417.98.32476492906632-0.424764929066314
428.18.39976492906631-0.299764929066315
439.39.39976492906631-0.0997649290663137
449.49.64976492906631-0.249764929066315
459.49.49976492906631-0.0997649290663147
469.39.39153744638733-0.0915374463873306
4798.945768723193670.0542312768063343
489.18.945768723193660.154231276806335
499.79.247925602111510.452074397888488
509.79.147925602111520.552074397888483
519.68.972925602111510.627074397888485
528.38.53542560211151-0.235425602111514
538.28.41042560211151-0.210425602111515
548.48.48542560211151-0.0854256021115142
5510.69.485425602111511.11457439788849
5610.99.735425602111521.16457439788848
5710.99.585425602111521.31457439788849
589.69.477198119432530.122801880567469
599.39.031429396238860.268570603761135
609.39.031429396238860.268570603761137
619.69.333586275156710.266413724843288
629.59.233586275156720.266413724843284
639.59.058586275156720.441413724843285
6498.621086275156720.378913724843285
658.98.496086275156710.403913724843286
6698.571086275156710.428913724843286
6710.19.571086275156710.528913724843286
6810.29.821086275156710.378913724843284
6910.29.671086275156710.528913724843285
709.59.56285879247773-0.0628587924777308
719.39.117090069284070.182909930715936
729.39.117090069284060.182909930715937
739.49.4192469482019-0.0192469482019105
749.39.31924694820191-0.0192469482019145
759.19.14424694820191-0.0442469482019143
7698.706746948201910.293253051798086
778.98.581746948201910.318253051798087
7898.656746948201910.343253051798086
799.89.656746948201910.143253051798087
80109.906746948201920.0932530517980854
819.89.756746948201910.0432530517980865
829.49.64851946552293-0.24851946552293
8399.20275074232926-0.202750742329265
848.99.20275074232926-0.302750742329263
859.39.50490762124711-0.20490762124711
869.19.40490762124712-0.304907621247115
878.89.22990762124711-0.429907621247113
888.98.792407621247110.107592378752886
898.78.667407621247110.0325923787528858
908.68.74240762124711-0.142407621247114
919.19.74240762124711-0.642407621247113
929.39.99240762124711-0.692407621247114
938.99.84240762124711-0.942407621247114