Multiple Linear Regression - Estimated Regression Equation
Werkloosheid*1000[t] = + 465.407101309638 + 14.4669259774709Inflatie[t] + 4.10330363550572M1[t] + 0.382515156201070M2[t] -7.5595962840048M3[t] -15.9230306851118M4[t] -22.2864650862189M5[t] -21.2072535655235M6[t] + 30.6039423965235M7[t] + 38.3938153976694M8[t] + 36.1197195161118M9[t] + 20.7989310368071M10[t] + 1.49946551840354M11[t] + 1.9207884793047t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)465.40710130963811.57492240.208200
Inflatie14.46692597747094.0560993.56670.0008570.000429
M14.1033036355057211.9154130.34440.7321380.366069
M20.38251515620107011.8931930.03220.9744820.487241
M3-7.559596284004811.860036-0.63740.5270240.263512
M4-15.923030685111811.824585-1.34660.1847060.092353
M5-22.286465086218911.802603-1.88830.0653060.032653
M6-21.207253565523511.791237-1.79860.0786520.039326
M730.603942396523511.7844042.5970.0125870.006294
M838.393815397669411.7774643.25990.0021010.00105
M936.119719516111811.7694723.06890.0035960.001798
M1020.798931036807111.7660681.76770.0837430.041871
M111.4994655184035411.7619060.12750.8991120.449556
t1.92078847930470.14998612.806500


Multiple Linear Regression - Regression Statistics
Multiple R0.936746926230519
R-squared0.877494803802325
Adjusted R-squared0.842873770094286
F-TEST (value)25.3457135682976
F-TEST (DF numerator)13
F-TEST (DF denominator)46
p-value1.11022302462516e-16
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation18.5950118887617
Sum Squared Residuals15905.6254885868


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1476513.385278759115-37.3852787591147
2475507.245200965873-32.2452009658732
3470502.670570602719-32.6705706027192
4461483.207691301193-22.2076913011930
5455471.531582390655-16.5315823906553
6456468.744811999667-12.7448119996669
7517528.263566832007-11.2635668320070
8525537.974228312458-12.9742283124576
9523537.620920910205-14.6209209102047
10519524.220920910205-5.22092091020473
11509503.9488586756125.0511413243883
12512508.7102594297543.28974057024589
13519511.840966349077.15903365092962
14517517.274429337806-0.274429337805853
15510512.699798974652-2.69979897465177
16509501.9170752596087.08292474039182
17501490.2409663490710.7590336509296
18507501.9211219355535.07887806444706
19569554.20641377915814.7935862208424
20580568.2571530528511.7428469471505
21578567.90384565059710.0961543494035
22565551.61046045510213.3895395448976
23547538.5718612092458.42813879075522
24555536.09979897465218.9002010253482
25562540.67719849171521.3228015082849
26561534.53712069847426.4628793015261
27555525.62241254207929.3775874579215
28544530.75330740225313.2466925977471
29537536.437509664680.562490335319803
30543535.0974318714397.90256812856106
31594590.2761089105383.72389108946224
32611597.09338519549413.9066148045058
33613593.84669259774719.1533074022529
34611593.46692597747117.5330740225291
35594571.74817114513122.2518288548692
36595567.82941631279127.1705836872093
37591573.85350842760117.1464915723989
38589576.39358622084212.6064137791576
39584577.6057262486776.39427375132333
40573566.8230025336336.17699746636692
41567558.040278818598.9597211814105
42569566.8270492095782.17295079042217
43621623.452418846424-2.45241884642379
44629633.163080326874-4.16308032687435
45628634.256465522369-6.25646552236853
46612610.7296173381391.2703826618611
47595594.7976328967870.202367103212828
48597599.55903365093-2.55903365092959
49593601.243047972499-8.24304797249874
50590596.549662777005-6.54966277700462
51580580.401491631874-0.401491631873829
52574578.298923503313-4.29892350331279
53573576.749662777005-3.74966277700462
54573575.409584983763-2.40958498376335
55620624.801491631874-4.80149163187383
56626634.512153112324-8.5121531123244
57620628.372075319083-8.37207531908314
58588614.972075319083-26.9720753190831
59566601.933476073226-35.9334760732256
60557603.801491631874-46.8014916318738