Multiple Linear Regression - Estimated Regression Equation
y[t] = + 521435.337348363 + 70995.3633923778x[t] -67.8004938271601t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)521435.33734836329113.94795617.910200
x70995.363392377849950.354741.42130.1692450.084623
t-67.80049382716011879.212152-0.03610.9715450.485772


Multiple Linear Regression - Regression Statistics
Multiple R0.328285962584027
R-squared0.107771673229721
Adjusted R-squared0.0266600071596959
F-TEST (value)1.32868277094296
F-TEST (DF numerator)2
F-TEST (DF denominator)22
p-value0.285256848472841
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation59796.1645267063
Sum Squared Residuals78662788426.3084


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1588261592362.900246914-4101.90024691353
2596397592295.0997530864101.90024691352
3576612521231.93586688155380.0641331186
4538141521164.13537305416976.8646269458
5491481521096.334879227-29615.3348792271
6469740521028.5343854-51288.5343853999
7474427520960.733891573-46533.7338915727
8507632520892.933397746-13260.9333977456
9541047520825.13290391820221.8670960816
10570046520757.33241009149288.6675899087
11588251520689.53191626467561.4680837359
12596872520621.73142243776250.2685775631
13588676520553.9309286168122.0690713902
14549738520486.13043478329251.8695652174
15472907520418.329940955-47511.3299409555
16429496520350.529447128-90854.5294471283
17402790520282.728953301-117492.728953301
18419304520214.928459474-100910.928459474
19459425520147.127965647-60722.1279656468
20500845520079.32747182-19234.3274718196
21516761520011.526977993-3250.52697799248
22557423519943.72648416537479.2735158347
23595042519875.92599033875166.0740096618
24589496519808.12549651169687.874503489
25535029519740.32500268415288.6749973162