Multiple Linear Regression - Estimated Regression Equation
industriële_productie[t] = + 90.3011764705882 + 15.4292810457517M1[t] + 16.5852287581699M2[t] + 11.4647058823530M3[t] + 8.26418300653594M4[t] + 6.56366013071895M5[t] + 5.20313725490195M6[t] + 16.2826143790850M7[t] + 7.42209150326796M8[t] + 6.98156862745097M9[t] + 15.661045751634M10[t] -1.47947712418301M11[t] + 0.220522875816993t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)90.30117647058821.65713354.492400
M115.42928104575171.9326077.983700
M216.58522875816992.0284758.176200
M311.46470588235302.0258855.65911e-060
M48.264183006535942.0235644.0840.0001678.3e-05
M56.563660130718952.0215153.24690.0021310.001065
M65.203137254901952.0197362.57610.0131240.006562
M716.28261437908502.0182318.067800
M87.422091503267962.0169983.67980.000590.000295
M96.981568627450972.0160383.4630.0011330.000567
M1015.6610457516342.0153537.770900
M11-1.479477124183012.014941-0.73430.4663660.233183
t0.2205228758169930.0235119.379700


Multiple Linear Regression - Regression Statistics
Multiple R0.923456661459081
R-squared0.852772205593152
Adjusted R-squared0.81596525699144
F-TEST (value)23.1687830148867
F-TEST (DF numerator)12
F-TEST (DF denominator)48
p-value6.66133814775094e-16
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation3.1856851491133
Sum Squared Residuals487.13231372549


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1106.5105.9509803921570.549019607843207
2112.3107.3274509803924.97254901960782
3102.8102.4274509803920.37254901960783
496.599.4474509803922-2.94745098039219
510197.96745098039223.03254901960782
698.996.82745098039222.07254901960784
7105.1108.127450980392-3.02745098039216
810399.48745098039223.51254901960784
99999.2674509803921-0.267450980392144
10104.3108.167450980392-3.86745098039215
1194.691.24745098039223.35254901960783
1290.492.9474509803922-2.54745098039216
13108.9108.5972549019610.302745098039209
14111.4109.9737254901961.42627450980393
15100.8105.073725490196-4.27372549019608
16102.5102.0937254901960.406274509803932
1798.2100.613725490196-2.41372549019607
1898.799.473725490196-0.773725490196077
19113.3110.7737254901962.52627450980392
20104.6102.1337254901962.46627450980392
2199.3101.913725490196-2.61372549019609
22111.8110.8137254901960.986274509803915
2397.393.8937254901963.40627450980392
2497.795.5937254901962.10627450980392
25115.6111.2435294117654.35647058823527
26111.9112.62-0.719999999999992
27107107.72-0.719999999999996
28107.1104.742.36000000000000
29100.6103.26-2.66000000000000
3099.2102.12-2.92
31108.4113.42-5.01999999999999
32103104.78-1.78000000000000
3399.8104.56-4.76000000000001
34115113.461.54000000000000
3590.896.54-5.74
3695.998.24-2.33999999999999
37114.4113.8898039215690.510196078431359
38108.2115.266274509804-7.06627450980391
39112.6110.3662745098042.23372549019608
40109.1107.3862745098041.71372549019609
41105105.906274509804-0.906274509803916
42105104.7662745098040.233725490196078
43118.5116.0662745098042.43372549019608
44103.7107.426274509804-3.72627450980392
45112.5107.2062745098045.29372549019608
46116.6116.1062745098040.493725490196069
4796.699.186274509804-2.58627450980392
48101.9100.8862745098041.01372549019608
49116.5116.536078431373-0.0360784313725666
50119.3117.9125490196081.38745098039216
51115.4113.0125490196082.38745098039217
52108.5110.032549019608-1.53254901960783
53111.5108.5525490196082.94745098039216
54108.8107.4125490196081.38745098039216
55121.8118.7125490196083.08745098039215
56109.6110.072549019608-0.472549019607844
57112.2109.8525490196082.34745098039216
58119.6118.7525490196080.847450980392155
59103.4101.8325490196081.56745098039217
60105.3103.5325490196081.76745098039216
61113.5119.182352941176-5.68235294117648