Multiple Linear Regression - Estimated Regression Equation
Totmetaal[t] = + 75.261054945055 -1.58593406593407Ramp[t] + 26.9829413919414M1[t] + 26.6538388278388M2[t] + 21.9247362637363M3[t] + 20.4756336996337M4[t] + 11.4265311355311M5[t] + 13.9774285714286M6[t] + 30.248326007326M7[t] + 16.7992234432234M8[t] + 17.2901208791209M9[t] + 33.4010183150183M10[t] -0.708084249084255M11[t] + 0.449102564102564t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)75.2610549450552.70385127.834800
Ramp-1.585934065934072.640786-0.60060.5510850.275542
M126.98294139194143.2853698.213100
M226.65383882783883.2776218.132100
M321.92473626373633.2715826.701600
M420.47563369963373.2672626.266900
M511.42653113553113.2646673.50010.0010450.000523
M613.97742857142863.2638024.28269.3e-054.7e-05
M730.2483260073263.2646679.265400
M816.79922344322343.2672625.14175e-063e-06
M917.29012087912093.2715825.28493e-062e-06
M1033.40101831501833.27762110.190600
M11-0.7080842490842553.285369-0.21550.830310.415155
t0.4491025641025640.0751675.974800


Multiple Linear Regression - Regression Statistics
Multiple R0.936067032778345
R-squared0.876221489854456
Adjusted R-squared0.841240606552454
F-TEST (value)25.0485810289507
F-TEST (DF numerator)13
F-TEST (DF denominator)46
p-value2.22044604925031e-16
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation5.14219103293595
Sum Squared Residuals1216.33791648352


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1106.8102.6930989010994.10690109890118
2113.7102.81309890109910.8869010989011
3102.598.5330989010993.96690109890108
496.697.533098901099-0.93309890109893
592.188.9330989010993.16690109890104
695.691.93309890109893.66690109890109
7102.3108.653098901099-6.35309890109889
898.695.6530989010992.94690109890108
998.296.59309890109891.60690109890112
10104.5113.153098901099-8.6530989010989
118479.49309890109894.50690109890112
1273.880.6502857142857-6.8502857142857
13103.9108.082329670330-4.18232967032969
14106108.202329670330-2.20232967032967
1597.2103.922329670330-6.72232967032967
16102.6102.922329670330-0.32232967032967
178994.3223296703297-5.32232967032966
1893.897.3223296703297-3.52232967032967
19116.7114.0423296703302.65767032967033
20106.8101.0423296703305.75767032967034
2198.5101.982329670330-3.48232967032968
22118.7118.5423296703300.15767032967033
239084.88232967032975.11767032967033
2491.984.45358241758247.44641758241758
25113.3111.8856263736261.41437362637360
26113.1112.0056263736261.09437362637363
27104.1107.725626373626-3.62562637362637
28108.7106.7256263736261.97437362637364
2996.798.1256263736263-1.42562637362635
30101101.125626373626-0.125626373626363
31116.9117.845626373626-0.945626373626368
32105.8104.8456263736260.954373626373634
3399105.785626373626-6.78562637362638
34129.4122.3456263736267.05437362637362
358388.6856263736264-5.68562637362638
3688.989.8428131868132-0.942813186813188
37115.9117.274857142857-1.37485714285716
38104.2117.394857142857-13.1948571428571
39113.4113.1148571428570.285142857142869
40112.2112.1148571428570.085142857142868
41100.8103.514857142857-2.71485714285713
42107.3106.5148571428570.785142857142858
43126.6123.2348571428573.36514285714284
44102.9110.234857142857-7.33485714285713
45117.9111.1748571428576.72514285714285
46128.8127.7348571428571.06514285714286
4787.594.0748571428572-6.57485714285715
4893.895.232043956044-1.43204395604396
49122.7122.6640879120880.0359120879120657
50126.2122.7840879120883.41591208791209
51124.6118.5040879120886.09591208791208
52116.7117.504087912088-0.804087912087903
53115.2108.9040879120886.2959120879121
54111.1111.904087912088-0.804087912087916
55129.9128.6240879120881.27591208791208
56113.3115.624087912088-2.32408791208791
57118.5116.5640879120881.93591208791208
58133.5133.1240879120880.375912087912074
59102.199.4640879120882.63591208791208
60102.4100.6212747252751.77872527472527