Multiple Linear Regression - Estimated Regression Equation
economisch[t] = -0.193464902552861 -0.0545820484428617werkloosheid[t] + 2.39658899019578`financiƫle`[t] + 0.339133117129955spaarvermogen[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-0.1934649025528612.311747-0.08370.9340970.467049
werkloosheid-0.05458204844286170.059725-0.91390.3711460.185573
`financiƫle`2.396588990195780.8072672.96880.0073260.003663
spaarvermogen0.3391331171299550.4327050.78380.4419370.220968


Multiple Linear Regression - Regression Statistics
Multiple R0.607966415573212
R-squared0.369623162464939
Adjusted R-squared0.279569328531359
F-TEST (value)4.10446891953048
F-TEST (DF numerator)3
F-TEST (DF denominator)21
p-value0.0193681189809477
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation5.27794018819092
Sum Squared Residuals584.989705232537


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
161.126746029179534.87325397082047
235.91992400957109-2.91992400957109
3105.011688755066954.98831124493305
400.0118234073767276-0.0118234073767276
5-21.02922275876659-3.02922275876659
6-1-1.991050417246230.991050417246233
723.35958887404673-1.35958887404673
882.59181811192565.4081818880744
9-6-4.13801081817327-1.86198918182673
10-42.05464085270818-6.05464085270818
114-1.885508404281575.88550840428157
1271.746808131075525.25319186892448
1332.249687393534060.750312606465942
1438.11484677375834-5.11484677375834
1585.706616957089782.29338304291022
1630.9680210251410842.03197897485892
17-31.02260307358394-4.02260307358394
184-5.785089557903369.78508955790336
19-5-4.58128689089882-0.418713109101183
20-10.157309041049879-1.15730904104988
2152.608480079688522.39151992031148
220-2.227639122673112.22763912267311
23-6-5.76243238761727-0.237567612382733
24-13-4.87448118479711-8.12551881520289
25-15-2.43432648997178-12.5656735100282