Multiple Linear Regression - Estimated Regression Equation
Vrouw[t] = + 8.01790922619047 -0.162552083333333x[t] + 0.25587255084325M1[t] + 0.138983754960317M2[t] -0.0529050409226189M3[t] -0.48697482638889M4[t] -0.649182632688493M5[t] -0.59107142857143M6[t] + 0.392039775545634M7[t] + 0.625150979662699M8[t] + 0.458262183779762M9[t] + 0.385570746527778M10[t] + 0.063332248263889M11[t] + 0.0168887958829365t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)8.017909226190470.25784231.096200
x-0.1625520833333330.346189-0.46950.6399720.319986
M10.255872550843250.3165440.80830.4213270.210663
M20.1389837549603170.3164630.43920.6617310.330865
M3-0.05290504092261890.3164-0.16720.8676330.433816
M4-0.486974826388890.319377-1.52480.1313110.065656
M5-0.6491826326884930.316328-2.05220.0434580.021729
M6-0.591071428571430.316319-1.86860.0653860.032693
M70.3920397755456340.3163281.23930.2188860.109443
M80.6251509796626990.3163551.97610.0516340.025817
M90.4582621837797620.31641.44840.1514730.075736
M100.3855707465277780.3305331.16650.2469170.123459
M110.0633322482638890.3414280.18550.8533180.426659
t0.01688879588293650.0023867.077700


Multiple Linear Regression - Regression Statistics
Multiple R0.738589178461846
R-squared0.545513974540945
Adjusted R-squared0.470725134908442
F-TEST (value)7.29405586744613
F-TEST (DF numerator)13
F-TEST (DF denominator)79
p-value3.84266307662529e-09
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.611185973035292
Sum Squared Residuals29.5103151971726


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
18.78.290670572916690.409329427083314
28.58.190670572916670.309329427083333
38.28.015670572916660.184329427083335
48.37.598489583333330.701510416666666
587.453170572916670.546829427083333
68.17.528170572916660.571829427083335
78.78.528170572916670.171829427083333
89.38.778170572916660.521829427083337
98.98.628170572916670.271829427083334
108.88.572367931547620.227632068452381
118.48.267018229166670.132981770833334
128.48.220574776785720.179425223214285
137.38.4933361235119-1.1933361235119
147.28.3933361235119-1.19333612351191
1578.2183361235119-1.21833612351190
1677.80115513392857-0.80115513392857
176.97.6558361235119-0.755836123511903
186.97.7308361235119-0.830836123511904
197.18.7308361235119-1.63083612351190
207.58.9808361235119-1.48083612351190
217.48.8308361235119-1.43083612351190
228.98.775033482142860.124966517857144
238.38.30713169642857-0.0071316964285707
248.38.42324032738095-0.123240327380952
2598.696001674107140.30399832589286
268.98.596001674107140.303998325892858
278.88.421001674107140.378998325892858
287.88.00382068452381-0.203820684523809
297.87.85850167410714-0.0585016741071427
307.87.93350167410714-0.133501674107143
319.28.933501674107140.266498325892857
329.39.183501674107140.116498325892857
339.29.033501674107140.166498325892856
348.68.9776990327381-0.377699032738096
358.58.67234933035714-0.172349330357143
368.58.62590587797619-0.125905877976191
3798.898667224702380.101332775297622
3898.798667224702380.201332775297619
398.88.623667224702380.176332775297620
4088.20648623511905-0.206486235119047
417.98.06116722470238-0.161167224702380
428.18.13616722470238-0.0361672247023817
439.39.136167224702380.16383277529762
449.49.386167224702380.0138327752976187
459.49.236167224702380.163832775297619
469.39.01781250.282187500000001
4798.875014880952380.124985119047619
489.18.828571428571430.271428571428571
499.79.101332775297620.598667224702383
509.79.001332775297620.69866722470238
519.68.826332775297620.77366722470238
528.38.40915178571429-0.109151785714285
538.28.26383277529762-0.0638327752976198
548.48.338832775297620.0611672247023809
5510.69.338832775297621.26116722470238
5610.99.588832775297621.31116722470238
5710.99.438832775297621.46116722470238
589.69.383030133928570.216969866071428
599.39.077680431547620.222319568452381
609.39.031236979166670.268763020833333
619.69.303998325892850.296001674107145
629.59.203998325892860.296001674107143
639.59.028998325892860.471001674107142
6498.611817336309520.388182663690476
658.98.466498325892860.433501674107143
6698.541498325892860.458501674107142
6710.19.541498325892860.558501674107143
6810.29.791498325892860.408501674107142
6910.29.641498325892860.558501674107142
709.59.58569568452381-0.0856956845238098
719.39.280345982142860.0196540178571431
729.39.23390252976190.0660974702380949
739.49.5066638764881-0.106663876488092
749.39.4066638764881-0.106663876488095
759.19.2316638764881-0.131663876488096
7698.814482886904760.185517113095237
778.98.66916387648810.230836123511905
7898.74416387648810.255836123511904
799.89.74416387648810.0558361235119051
80109.99416387648810.00583612351190393
819.89.8441638764881-0.0441638764880953
829.49.78836123511905-0.388361235119048
8399.32045944940476-0.320459449404763
848.99.43656808035714-0.536568080357144
859.39.70932942708333-0.40932942708333
869.19.60932942708333-0.509329427083334
878.89.43432942708333-0.634329427083334
888.98.854596354166670.0454036458333332
898.78.87182942708333-0.171829427083335
908.68.94682942708334-0.346829427083335
919.19.94682942708333-0.846829427083334
929.310.1968294270833-0.896829427083334
938.910.0468294270833-1.14682942708333