Multiple Linear Regression - Estimated Regression Equation
y[t] = + 9033.29419953596 -101.495359628771x[t] + 2865.40413766434M1[t] + 2990.73936581593M2[t] + 2574.47459396752M3[t] + 1298.41167826759M4[t] + 1652.84783449343M5[t] + 1637.48399071926M6[t] + 3575.92014694509M7[t] + 2087.95630317092M8[t] + 2093.59245939675M9[t] + 2979.92768754834M10[t] + 1111.96384377417M11[t] + 74.3638437741686t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)9033.29419953596311.83472628.968200
x-101.495359628771132.805895-0.76420.4486280.224314
M12865.40413766434323.4893218.857800
M22990.73936581593320.9501239.318400
M32574.47459396752320.4357918.034300
M41298.41167826759320.2471664.05440.0001929.6e-05
M51652.84783449343319.9716765.16565e-063e-06
M61637.48399071926319.7470275.12126e-063e-06
M73575.92014694509319.57332611.189700
M82087.95630317092319.4506576.536100
M92093.59245939675319.3790796.555200
M102979.92768754834318.4676049.357100
M111111.96384377417318.3906753.49250.0010690.000534
t74.36384377416864.04115518.401600


Multiple Linear Regression - Regression Statistics
Multiple R0.960293179246709
R-squared0.922162990107751
Adjusted R-squared0.900165574268637
F-TEST (value)41.9214237186917
F-TEST (DF numerator)13
F-TEST (DF denominator)46
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation503.379307808244
Sum Squared Residuals11655973.4663573


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11210311871.5668213457231.433178654281
21298912071.2658932715917.734106728538
31161011729.3649651972-119.364965197215
41020610527.6658932715-321.665893271461
51135610956.4658932715399.534106728539
61130711015.4658932715291.534106728539
71264913028.2658932715-379.265893271461
81194711614.6658932715332.334106728538
91171411796.1612529002-82.1612529002318
101219312655.3649651972-462.364965197215
111126910861.7649651972407.235034802785
1290979824.16496519721-727.164965197215
131264012763.9329466357-123.932946635728
141304012963.632018561576.3679814385146
151168712621.7310904872-934.731090487239
161119211420.0320185615-228.032018561485
171139211848.8320185615-456.832018561485
181179311907.8320185615-114.832018561485
191393313920.632018561512.3679814385150
201277812507.0320185615270.967981438515
211181012485.5366589327-675.536658932714
221369813446.2357308585251.764269141531
231195711652.6357308585304.364269141531
241072410615.0357308585108.964269141531
251393913656.2990719258282.700928074249
261398013754.5027842227225.497215777263
271380713412.6018561485394.398143851508
281297412312.3981438515661.601856148492
291251012639.7027842227-129.702784222738
301293412698.7027842227235.297215777263
311490814711.5027842227196.497215777262
321377213297.9027842227474.097215777262
331301313377.9027842227-364.902784222738
341405014338.6018561485-288.601856148492
351181712545.0018561485-728.001856148492
361159311507.401856148585.5981438515079
371446614447.16983758718.8301624129955
381361614646.8689095128-1030.86890951276
391473414304.9679814385429.032018561485
401388113103.2689095128777.731090487239
411352813532.0689095128-4.06890951276136
421358413591.0689095128-7.0689095127609
431617015603.8689095128566.131090487239
441326114190.2689095128-929.26890951276
451474214270.2689095128471.731090487239
461548715230.9679814385256.032018561484
471315513437.3679814385-282.367981438516
481262112399.7679814385221.232018561485
491503215441.0313225058-409.031322505798
501545215640.7303944316-188.730394431555
511542815197.3341067285230.665893271461
521310613995.6350348028-889.635034802785
531471714525.9303944316191.069605568445
541418014584.9303944316-404.930394431556
551620216597.7303944316-395.730394431555
561503615184.1303944316-148.130394431555
571591515264.1303944316650.869605568446
581646816224.8294663573243.170533642691
591473014431.2294663573298.770533642691
601370513393.6294663573311.370533642690