Multiple Linear Regression - Estimated Regression Equation

V1[t] = + 527.571 + 16.4286t + e[t]

Multiple Linear Regression - Ordinary Least Squares
Variable	Parameter	S.D.	T-STAT H0: parameter = 0	2-tail p-value	1-tail p-value
(Intercept)	527.571	126.37	4.175	0.00584705	0.00292353
t	16.4286	25.0249	0.6565	0.535861	0.267931

Multiple Linear Regression - Regression Statistics
Multiple R	0.258874
R-squared	0.0670158
Adjusted R-squared	-0.0884816
F-TEST (value)	0.430977
F-TEST (DF numerator)	1
F-TEST (DF denominator)	6
p-value	0.535861
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	162.18
Sum Squared Residuals	157814

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	Interpolation Forecast	Residuals Prediction Error
1	399	544	-145
2	499	560.429	-61.4286
3	599	576.857	22.1429
4	699	593.286	105.714
5	799	609.714	189.286
6	759	626.143	132.857
7	659	642.571	16.4286
8	399	659	-260