Multiple Linear Regression - Estimated Regression Equation
y[t] = + 14637.7 + 1033.13658536586x[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)14637.7298.82527148.984100
x1033.13658536586376.254822.74580.0078570.003929


Multiple Linear Regression - Regression Statistics
Multiple R0.326933189100534
R-squared0.106885310135445
Adjusted R-squared0.0927088864868016
F-TEST (value)7.53965265038275
F-TEST (DF numerator)1
F-TEST (DF denominator)63
p-value0.0078570299419064
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1463.93887164819
Sum Squared Residuals135016372.255122


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
112398.414637.7000000000-2239.30000000005
213882.314637.7-755.400000000005
315861.514637.71223.80000000000
413286.114637.7-1351.60000000000
515634.914637.7997.200000000002
61421114637.7-426.699999999998
713646.814637.7-990.899999999998
812224.614637.7-2413.1
915916.414637.71278.70000000000
1016535.914637.71898.20000000000
111579614637.71158.30000000000
1214418.614637.7-219.099999999998
1315044.514637.7406.800000000002
1414944.214637.7306.500000000003
1516754.814637.72117.1
161425414637.7-383.699999999998
1715454.914637.7817.200000000002
1815644.814637.71007.10000000000
1914568.314637.7-69.3999999999986
2012520.214637.7-2117.50000000000
211480314637.7165.300000000002
2215873.214637.71235.50000000000
2314755.314637.7117.600000000001
2412875.114637.7-1762.60000000000
2514291.115670.8365853659-1379.73658536585
2614205.315670.8365853659-1465.53658536585
2715859.415670.8365853659188.563414634146
2815258.915670.8365853659-411.936585365854
2915498.615670.8365853659-172.236585365853
3014106.515670.8365853659-1564.33658536585
3115023.615670.8365853659-647.236585365853
321208315670.8365853659-3587.83658536585
3315761.315670.836585365990.4634146341456
341694315670.83658536591272.16341463415
3515070.315670.8365853659-600.536585365854
3613659.615670.8365853659-2011.23658536585
3714768.915670.8365853659-901.936585365854
3814725.115670.8365853659-945.736585365853
3915998.115670.8365853659327.263414634147
4015370.615670.8365853659-300.236585365853
4114956.915670.8365853659-713.936585365854
4215469.715670.8365853659-201.136585365853
4315101.815670.8365853659-569.036585365854
4411703.715670.8365853659-3967.13658536585
4516283.615670.8365853659612.763414634147
4616726.515670.83658536591055.66341463415
4714968.915670.8365853659-701.936585365854
481486115670.8365853659-809.836585365854
4914583.315670.8365853659-1087.53658536585
5015305.815670.8365853659-365.036585365854
5117903.915670.83658536592233.06341463415
5216379.415670.8365853659708.563414634146
5315420.315670.8365853659-250.536585365854
5417870.515670.83658536592199.66341463415
5515912.815670.8365853659241.963414634146
5613866.515670.8365853659-1804.33658536585
5717823.215670.83658536592152.36341463415
581787215670.83658536592201.16341463415
5917420.415670.83658536591749.56341463415
6016704.415670.83658536591033.56341463415
6115991.215670.8365853659320.363414634147
6216583.615670.8365853659912.763414634145
6319123.515670.83658536593452.66341463415
6417838.715670.83658536592167.86341463415
6517209.415670.83658536591538.56341463415