Multiple Linear Regression - Estimated Regression Equation
Mannen[t] = + 1.47225344598702 + 0.641840671951961Vrouwen[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)1.472253445987020.6498862.26540.0271730.013587
Vrouwen0.6418406719519610.0728248.813600


Multiple Linear Regression - Regression Statistics
Multiple R0.753879276459745
R-squared0.568333963475469
Adjusted R-squared0.561017589975053
F-TEST (value)77.6797362030753
F-TEST (DF numerator)1
F-TEST (DF denominator)59
p-value2.33868480137289e-12
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.529430133094432
Sum Squared Residuals16.5374796838749


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
15.35.96513814965075-0.665138149650752
25.75.96513814965075-0.265138149650748
35.65.90095408245555-0.300954082455553
45.55.90095408245555-0.400954082455553
55.66.02932221684594-0.429322216845945
65.96.28605848562673-0.386058485626729
766.22187441843153-0.221874418431533
877.18463542635947-0.184635426359475
96.66.7995310231883-0.199531023188299
106.66.7995310231883-0.199531023188299
116.37.24881949355467-0.94881949355467
126.37.18463542635947-0.884635426359475
136.37.12045135916428-0.820451359164279
146.36.47861068721232-0.178610687212317
156.26.47861068721232-0.278610687212317
166.26.47861068721232-0.278610687212317
176.37.37718762794506-1.07718762794506
186.47.44137169514026-1.04137169514026
196.47.37718762794506-0.977187627945062
207.86.992083224773890.807916775226114
217.76.927899157578690.77210084242131
227.76.927899157578690.77210084242131
237.77.248819493554670.45118050644533
247.77.248819493554670.45118050644533
257.67.120451359164280.479548640835721
267.56.606978821602710.89302117839729
277.46.542794754407510.857205245592487
287.46.67116288879790.728837111202095
297.57.441371695140260.0586283048597409
307.67.505555762335460.0944442376645446
317.67.505555762335460.0944442376645446
328.17.441371695140260.65862830485974
337.87.248819493554670.55118050644533
3487.313003560749870.686996439250134
357.97.698107963921040.201892036078958
367.97.698107963921040.201892036078958
377.87.633923896725850.166076103274153
386.76.7995310231883-0.099531023188298
396.66.7353469559931-0.135346955993102
406.66.8637150903835-0.263715090383494
417.78.2757645686778-0.575764568677807
427.98.4683167702634-0.568316770263396
4388.4683167702634-0.468316770263397
447.77.633923896725850.0660761032741534
457.57.441371695140260.0586283048597409
467.67.441371695140260.158628304859741
477.87.633923896725850.166076103274153
487.87.569739829530650.230260170469349
497.77.569739829530650.130260170469349
507.47.248819493554670.15118050644533
517.57.184635426359470.315364573640526
527.27.24881949355467-0.0488194935546702
537.57.95484423270183-0.454844232701827
547.68.01902829989702-0.419028299897023
557.68.01902829989702-0.419028299897023
567.87.569739829530650.230260170469349
577.77.441371695140260.258628304859741
587.77.441371695140260.258628304859741
598.27.505555762335450.694444237664544
608.27.441371695140260.75862830485974
618.17.313003560749870.786996439250133