Multiple Linear Regression - Estimated Regression Equation
industriële_productie[t] = + 98.24 + 14.3266666666667M1[t] + 14.38M2[t] + 9.48M3[t] + 6.49999999999998M4[t] + 5.01999999999999M5[t] + 3.87999999999999M6[t] + 15.18M7[t] + 6.53999999999998M8[t] + 6.31999999999999M9[t] + 15.22M10[t] -1.70000000000001M11[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)98.242.37330841.393700
M114.32666666666673.2134754.45834.8e-052.4e-05
M214.383.3563654.28448.5e-054.3e-05
M39.483.3563652.82450.006830.003415
M46.499999999999983.3563651.93660.058570.029285
M55.019999999999993.3563651.49570.1411540.070577
M63.879999999999993.3563651.1560.2532820.126641
M715.183.3563654.52273.9e-051.9e-05
M86.539999999999983.3563651.94850.0570890.028545
M96.319999999999993.3563651.8830.0656450.032823
M1015.223.3563654.53473.7e-051.9e-05
M11-1.700000000000013.356365-0.50650.6147770.307389


Multiple Linear Regression - Regression Statistics
Multiple R0.763493252782389
R-squared0.582921947044233
Adjusted R-squared0.489292180054162
F-TEST (value)6.22581862353725
F-TEST (DF numerator)11
F-TEST (DF denominator)49
p-value2.72441705351234e-06
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation5.30687911925592
Sum Squared Residuals1379.98533333333


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1106.5112.566666666667-6.0666666666666
2112.3112.62-0.32000000000002
3102.8107.72-4.92000000000001
496.5104.74-8.24000000000003
5101103.26-2.26000000000001
698.9102.12-3.22
7105.1113.42-8.32
8103104.78-1.78
999104.56-5.55999999999999
10104.3113.46-9.15999999999999
1194.696.54-1.94000000000001
1290.498.24-7.84
13108.9112.566666666667-3.66666666666668
14111.4112.62-1.21999999999999
15100.8107.72-6.92
16102.5104.74-2.23999999999999
1798.2103.26-5.05999999999999
1898.7102.12-3.41999999999999
19113.3113.42-0.120000000000003
20104.6104.78-0.180000000000005
2199.3104.56-5.26000000000001
22111.8113.46-1.66000000000000
2397.396.540.760000000000002
2497.798.24-0.540000000000003
25115.6112.5666666666673.03333333333331
26111.9112.62-0.719999999999992
27107107.72-0.719999999999991
28107.1104.742.36000000000001
29100.6103.26-2.66
3099.2102.12-2.92000000000000
31108.4113.42-5.01999999999999
32103104.78-1.78
3399.8104.56-4.76000000000001
34115113.461.54000000000000
3590.896.54-5.74
3695.998.24-2.34
37114.4112.5666666666671.83333333333332
38108.2112.62-4.41999999999999
39112.6107.724.88
40109.1104.744.36000000000001
41105103.261.74000000000001
42105102.122.88
43118.5113.425.08
44103.7104.78-1.08000000000000
45112.5104.567.94
46116.6113.463.13999999999999
4796.696.540.0599999999999987
48101.998.243.66
49116.5112.5666666666673.93333333333332
50119.3112.626.68
51115.4107.727.68000000000001
52108.5104.743.76000000000001
53111.5103.268.24
54108.8102.126.68
55121.8113.428.37999999999999
56109.6104.784.81999999999999
57112.2104.567.64
58119.6113.466.14
59103.496.546.86000000000001
60105.398.247.05999999999999
61113.5112.5666666666670.933333333333317