Multiple Linear Regression - Estimated Regression Equation
Benz[t] = + 97.165172413793 + 5.19133921411389Par1[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)97.1651724137930.124128782.782700
Par15.191339214113890.16062132.320500


Multiple Linear Regression - Regression Statistics
Multiple R0.968089876876053
R-squared0.937198009709891
Adjusted R-squared0.936300838420032
F-TEST (value)1044.61435659348
F-TEST (DF numerator)1
F-TEST (DF denominator)70
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.66844917407082
Sum Squared Residuals31.2777008821172


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
196.6797.1651724137933-0.495172413793325
296.6797.1651724137931-0.495172413793114
396.6797.1651724137931-0.495172413793095
496.6797.1651724137931-0.495172413793095
596.6797.1651724137931-0.495172413793095
696.6797.1651724137931-0.495172413793095
796.6797.1651724137931-0.495172413793095
897.5997.16517241379310.424827586206907
997.5997.16517241379310.424827586206907
1097.5997.16517241379310.424827586206907
1197.0697.1651724137931-0.105172413793094
1297.0697.1651724137931-0.105172413793094
1397.0697.1651724137931-0.105172413793094
1497.0697.1651724137931-0.105172413793094
1597.0697.1651724137931-0.105172413793094
1697.3697.16517241379310.194827586206903
1797.4397.16517241379310.26482758620691
1897.4397.16517241379310.26482758620691
1997.4397.16517241379310.26482758620691
2097.4397.16517241379310.26482758620691
2197.4397.16517241379310.26482758620691
2297.0897.1651724137931-0.0851724137930983
2397.0897.1651724137931-0.0851724137930983
2497.0897.1651724137931-0.0851724137930983
2597.0897.1651724137931-0.0851724137930983
2697.5597.16517241379310.384827586206901
2797.5597.16517241379310.384827586206901
2897.5597.16517241379310.384827586206901
2997.5597.16517241379310.384827586206901
30101.47102.356511627907-0.88651162790698
31101.47102.356511627907-0.88651162790698
32101.47102.356511627907-0.88651162790698
33101.47102.356511627907-0.88651162790698
34100.9102.356511627907-1.45651162790697
35100.9102.356511627907-1.45651162790697
36100.9102.356511627907-1.45651162790697
37102.31102.356511627907-0.0465116279069761
38102.31102.356511627907-0.0465116279069761
39102.31102.356511627907-0.0465116279069761
40102.31102.356511627907-0.0465116279069761
41102.31102.356511627907-0.0465116279069761
42102.64102.3565116279070.283488372093022
43102.64102.3565116279070.283488372093022
44102.64102.3565116279070.283488372093022
45102.64102.3565116279070.283488372093022
46101.94102.356511627907-0.416511627906981
47101.94102.356511627907-0.416511627906981
48101.94102.356511627907-0.416511627906981
49102.34102.356511627907-0.0165116279069750
50102.34102.356511627907-0.0165116279069750
51102.34102.356511627907-0.0165116279069750
52102.34102.356511627907-0.0165116279069750
53102.34102.356511627907-0.0165116279069750
54102.34102.356511627907-0.0165116279069750
55102.34102.356511627907-0.0165116279069750
56102.34102.356511627907-0.0165116279069750
57102.34102.356511627907-0.0165116279069750
58102.45102.3565116279070.0934883720930245
59102.45102.3565116279070.0934883720930245
60102.45102.3565116279070.0934883720930245
61102.5102.3565116279070.143488372093022
62102.45102.3565116279070.0934883720930245
63102.45102.3565116279070.0934883720930245
64102.45102.3565116279070.0934883720930245
65102.45102.3565116279070.0934883720930245
66102.45102.3565116279070.0934883720930245
67102.45102.3565116279070.0934883720930245
68102.45102.3565116279070.0934883720930245
69102.45102.3565116279070.0934883720930245
70104.77102.3565116279072.41348837209302
71104.77102.3565116279072.41348837209302
72104.77102.3565116279072.41348837209302