Multiple Linear Regression - Estimated Regression Equation
<25[t] = + 125.003416856492 -4.89104024297646eco[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)125.0034168564922.26061355.296200
eco-4.891040242976462.00284-2.44210.0170960.008548


Multiple Linear Regression - Regression Statistics
Multiple R0.278363511054769
R-squared0.0774862442867386
Adjusted R-squared0.0644930927978195
F-TEST (value)5.9636220167848
F-TEST (DF numerator)1
F-TEST (DF denominator)71
p-value0.0170964072114111
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation17.0140472492815
Sum Squared Residuals20552.9240698557


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1140129.89445709946910.1055429005312
2132134.785497342445-2.78549734244495
3117134.785497342445-17.7854973424449
4114129.894457099468-15.8944570994685
5113120.112376613516-7.11237661351557
6110120.112376613516-10.1123766135156
7107120.112376613516-13.1123766135156
8103120.112376613516-17.1123766135156
998120.112376613516-22.1123766135156
1098120.112376613516-22.1123766135156
11137125.00341685649211.9965831435080
12148129.89445709946818.1055429005315
13147129.89445709946817.1055429005315
14139129.8944570994689.10554290053152
15130129.8944570994680.105542900531517
16128129.894457099468-1.89445709946848
17127134.785497342445-7.78549734244494
18123134.785497342445-11.7854973424449
19118134.785497342445-16.7854973424449
20114129.894457099468-15.8944570994685
21108129.894457099468-21.8944570994685
22111129.894457099468-18.8944570994685
23151129.89445709946821.1055429005315
24159129.89445709946829.1055429005315
25158129.89445709946828.1055429005315
26148129.89445709946818.1055429005315
27138125.00341685649212.9965831435080
28137125.00341685649211.9965831435080
29136120.11237661351615.8876233864844
30133120.11237661351612.8876233864844
31126120.1123766135165.88762338648443
32120120.112376613516-0.112376613515566
33114129.894457099468-15.8944570994685
34116120.112376613516-4.11237661351557
35153129.89445709946823.1055429005315
36162120.11237661351641.8876233864844
37161125.00341685649235.9965831435080
38149129.89445709946819.1055429005315
39139129.8944570994689.10554290053152
40135129.8944570994685.10554290053152
41130129.8944570994680.105542900531517
42127129.894457099468-2.89445709946848
43122120.1123766135161.88762338648443
44117129.894457099468-12.8944570994685
45112134.785497342445-22.7854973424449
46113134.785497342445-21.7854973424449
47149134.78549734244514.2145026575551
48157129.89445709946827.1055429005315
49157134.78549734244522.2145026575551
50147129.89445709946817.1055429005315
51137129.8944570994687.10554290053152
52132129.8944570994682.10554290053152
53125129.894457099468-4.89445709946848
54123129.894457099468-6.89445709946848
55117129.894457099468-12.8944570994685
56114129.894457099468-15.8944570994685
57111129.894457099468-18.8944570994685
58112129.894457099468-17.8944570994685
59144125.00341685649218.9965831435080
60150129.89445709946820.1055429005315
61149129.89445709946819.1055429005315
62134120.11237661351613.8876233864844
63123120.1123766135162.88762338648443
64116129.894457099468-13.8944570994685
65117129.894457099468-12.8944570994685
66111125.003416856492-14.0034168564920
67105129.894457099468-24.8944570994685
68102120.112376613516-18.1123766135156
6995120.112376613516-25.1123766135156
7093120.112376613516-27.1123766135156
71124125.003416856492-1.00341685649202
72130129.8944570994680.105542900531517
73124129.894457099468-5.89445709946848