Multiple Linear Regression - Estimated Regression Equation
B [t] = + 110.608581349206 -1.81894841269841A[t] -0.378570601851804M1[t] -6.55542493386244M2[t] -14.4522792658730M3[t] -11.6091335978836M4[t] -12.0859879298942M5[t] -0.682842261904766M6[t] -6.75590691137567M7[t] -8.73276124338625M8[t] -1.26961557539683M9[t] -18.4464699074074M10[t] -17.963324239418M11[t] + 0.0768543320105817t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)110.6085813492062.39371746.207900
A-1.818948412698412.063509-0.88150.3827410.19137
M1-0.3785706018518042.904091-0.13040.8968640.448432
M2-6.555424933862442.904031-2.25740.0288860.014443
M3-14.45227926587302.905029-4.97491e-055e-06
M4-11.60913359788362.907084-3.99340.0002380.000119
M5-12.08598792989422.910194-4.1530.0001447.2e-05
M6-0.6828422619047662.914355-0.23430.8158120.407906
M7-6.755906911375672.898667-2.33070.024310.012155
M8-8.732761243386252.898687-3.01270.004240.00212
M9-1.269615575396832.899767-0.43780.6636010.331801
M10-18.44646990740742.901905-6.356700
M11-17.9633242394182.9051-6.183400
t0.07685433201058170.0554321.38650.1724370.086218


Multiple Linear Regression - Regression Statistics
Multiple R0.862898988561897
R-squared0.744594664461145
Adjusted R-squared0.670810900861031
F-TEST (value)10.0915787990516
F-TEST (DF numerator)13
F-TEST (DF denominator)45
p-value1.94781590856508e-09
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation4.31989105790929
Sum Squared Residuals839.76564384921


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1115.4110.3068650793655.09313492063515
2106.9104.2068650793652.69313492063491
3107.196.38686507936510.7131349206349
499.399.306865079365-0.00686507936508507
599.298.9068650793650.293134920634920
6108.3110.386865079365-2.08686507936509
7105.6104.3906547619051.20934523809522
899.5102.490654761905-2.99065476190477
9107.4110.030654761905-2.63065476190477
1093.192.93065476190480.169345238095228
1188.193.4906547619048-5.39065476190477
12110.7111.530833333333-0.830833333333343
13113.1111.2291170634921.87088293650787
1499.6105.129117063492-5.52911706349207
1593.697.309117063492-3.70911706349208
1698.6100.229117063492-1.62911706349207
1799.699.829117063492-0.229117063492073
18114.3111.3091170634922.99088293650793
19107.8103.4939583333334.30604166666666
20101.2101.593958333333-0.393958333333335
21112.5109.1339583333333.36604166666666
22100.592.03395833333338.46604166666667
2393.992.59395833333331.30604166666667
24116.2110.6341369047625.56586309523809
25112110.3324206349211.66757936507931
26106.4104.2324206349212.16757936507937
2795.796.4124206349206-0.712420634920633
289699.3324206349206-3.33242063492063
2995.898.9324206349206-3.13242063492064
30103110.412420634921-7.41242063492064
31102.2104.416210317460-2.21621031746032
3298.4102.516210317460-4.11621031746031
33111.4110.0562103174601.34378968253969
3486.692.9562103174603-6.35621031746032
3591.393.5162103174603-2.21621031746032
36107.9111.556388888889-3.65638888888888
37101.8111.254672619048-9.45467261904767
38104.4105.154672619048-0.75467261904761
3993.497.3346726190476-3.93467261904761
40100.1100.254672619048-0.154672619047616
4198.599.8546726190476-1.35467261904762
42112.9111.3346726190481.56532738095239
43101.4105.338462301587-3.93846230158729
44107.1103.4384623015873.6615376984127
45110.8110.978462301587-0.178462301587302
4690.393.8784623015873-3.57846230158730
4795.594.43846230158731.06153769841270
48111.4112.478640873016-1.07864087301586
49113112.1769246031750.823075396825353
50107.5106.0769246031751.42307539682540
5195.998.2569246031746-2.35692460317459
52106.3101.1769246031755.12307539682541
53105.2100.7769246031754.42307539682541
54117.2112.2569246031754.94307539682541
55106.9106.2607142857140.639285714285728
56108.2104.3607142857143.83928571428572
57110111.900714285714-1.90071428571428
5896.194.80071428571431.29928571428572
59100.695.36071428571435.23928571428572