Multiple Linear Regression - Estimated Regression Equation
BBP[t] = + 138695.760976600 + 5173.15102786664`ja/nee`[t] + 6112.45951982133t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)138695.7609766004189.77116933.103400
`ja/nee`5173.151027866646388.0278670.80980.4260010.213
t6112.45951982133318.58425919.186300


Multiple Linear Regression - Regression Statistics
Multiple R0.983578624538411
R-squared0.967426910648873
Adjusted R-squared0.964712486536279
F-TEST (value)356.402268223437
F-TEST (DF numerator)2
F-TEST (DF denominator)24
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation9533.60400780259
Sum Squared Residuals2181350529.06215


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1163414144808.22049642118605.7795035787
2163652150920.68001624312731.3199837571
3164603157033.1395360647569.86046393579
4165257163145.5990558862111.40094411448
5168731169258.058575707-527.058575706844
6171848175370.518095528-3522.51809552817
7175032181482.977615349-6450.9776153495
8179187187595.437135171-8408.43713517082
9187369193707.896654992-6338.89665499215
10194147199820.356174813-5673.35617481348
11200145205932.815694635-5787.8156946348
12203750212045.275214456-8295.27521445613
13206464218157.734734277-11693.7347342775
14205034224270.194254099-19236.1942540988
15211782230382.65377392-18600.6537739201
16244562236495.1132937418066.88670625857
17247059242607.5728135634451.42718643725
18255703248720.0323333846982.96766661591
19260218254832.4918532055385.50814679459
20268852260944.9513730277907.04862697327
21279436267057.41089284812378.5891071519
22281514273169.8704126698344.1295873306
23285458284455.4809603571002.51903964265
24288338290567.940480179-2229.94048017867
25296369296680.4-311.399999999999
26302221302792.859519821-571.859519821324
27311016308905.3190396432110.68096035735