Multiple Linear Regression - Estimated Regression Equation
totmetaal[t] = + 80.6502857142857 + 11.8871428571428ramp[t] + 24.7374285714286M1[t] + 24.8574285714286M2[t] + 20.5774285714286M3[t] + 19.5774285714286M4[t] + 10.9774285714285M5[t] + 13.9774285714286M6[t] + 30.6974285714285M7[t] + 17.6974285714285M8[t] + 18.6374285714286M9[t] + 35.1974285714286M10[t] + 1.53742857142857M11[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)80.65028571428573.3606223.998600
ramp11.88714285714281.8119256.560500
M124.73742857142864.3030845.74881e-060
M224.85742857142864.3030845.77671e-060
M320.57742857142864.3030844.7821.8e-059e-06
M419.57742857142864.3030844.54963.8e-051.9e-05
M510.97742857142854.3030842.55110.0140550.007027
M613.97742857142864.3030843.24820.0021470.001073
M730.69742857142854.3030847.133800
M817.69742857142854.3030844.11270.0001567.8e-05
M918.63742857142864.3030844.33127.7e-053.9e-05
M1035.19742857142864.3030848.179600
M111.537428571428574.3030840.35730.7224780.361239


Multiple Linear Regression - Regression Statistics
Multiple R0.883269342311904
R-squared0.780164731068104
Adjusted R-squared0.724036577298258
F-TEST (value)13.899704135418
F-TEST (DF numerator)12
F-TEST (DF denominator)47
p-value1.14690479335877e-11
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation6.77960283421276
Sum Squared Residuals2160.26168571429


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1106.8105.3877142857141.41228571428576
2113.7105.5077142857148.19228571428573
3102.5101.2277142857141.27228571428569
496.6100.227714285714-3.62771428571431
592.191.62771428571430.47228571428566
695.694.62771428571430.972285714285704
7102.3111.347714285714-9.04771428571428
898.698.34771428571430.252285714285688
998.299.2877142857143-1.08771428571426
10104.5115.847714285714-11.3477142857143
118482.18771428571431.81228571428573
1273.880.6502857142857-6.8502857142857
13103.9105.387714285714-1.48771428571430
14106105.5077142857140.492285714285705
1597.2101.227714285714-4.02771428571428
16102.6100.2277142857142.37228571428571
178991.6277142857143-2.62771428571428
1893.894.6277142857143-0.827714285714281
19116.7111.3477142857145.35228571428571
20106.898.34771428571438.45228571428572
2198.599.2877142857143-0.787714285714292
22118.7115.8477142857142.85228571428571
239082.18771428571437.81228571428571
2491.992.5374285714286-0.637428571428575
25113.3117.274857142857-3.97485714285716
26113.1117.394857142857-4.29485714285715
27104.1113.114857142857-9.01485714285714
28108.7112.114857142857-3.41485714285713
2996.7103.514857142857-6.81485714285712
30101106.514857142857-5.51485714285714
31116.9123.234857142857-6.33485714285714
32105.8110.234857142857-4.43485714285714
3399111.174857142857-12.1748571428571
34129.4127.7348571428571.66514285714285
358394.0748571428571-11.0748571428571
3688.992.5374285714286-3.63742857142858
37115.9117.274857142857-1.37485714285715
38104.2117.394857142857-13.1948571428571
39113.4113.1148571428570.285142857142872
40112.2112.1148571428570.0851428571428692
41100.8103.514857142857-2.71485714285713
42107.3106.5148571428570.785142857142858
43126.6123.2348571428573.36514285714284
44102.9110.234857142857-7.33485714285713
45117.9111.1748571428576.72514285714286
46128.8127.7348571428571.06514285714286
4787.594.0748571428571-6.57485714285715
4893.892.53742857142861.26257142857142
49122.7117.2748571428575.42514285714285
50126.2117.3948571428578.80514285714285
51124.6113.11485714285711.4851428571429
52116.7112.1148571428574.58514285714287
53115.2103.51485714285711.6851428571429
54111.1106.5148571428574.58514285714286
55129.9123.2348571428576.66514285714286
56113.3110.2348571428573.06514285714286
57118.5111.1748571428577.32514285714285
58133.5127.7348571428575.76514285714285
59102.194.07485714285718.02514285714285
60102.492.53742857142869.86257142857143