Multiple Linear Regression - Estimated Regression Equation
y[t] = + 573.130434782609 -12.2620137299771x[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)573.1304347826097.55744275.836600
x-12.26201372997719.575201-1.28060.2053450.102673


Multiple Linear Regression - Regression Statistics
Multiple R0.164450236155504
R-squared0.027043880171601
Adjusted R-squared0.0105530984795943
F-TEST (value)1.63993925070935
F-TEST (DF numerator)1
F-TEST (DF denominator)59
p-value0.205345298596878
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation36.2442165581465
Sum Squared Residuals77504.9508009153


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1523573.130434782608-50.1304347826084
2519560.868421052632-41.8684210526316
3509560.868421052632-51.8684210526316
4512560.868421052632-48.8684210526316
5519573.130434782609-54.1304347826087
6517573.130434782609-56.1304347826087
7510560.868421052632-50.8684210526316
8509560.868421052632-51.8684210526316
9501573.130434782609-72.1304347826087
10507560.868421052632-53.8684210526316
11569573.130434782609-4.13043478260871
12580573.1304347826096.86956521739129
13578560.86842105263217.1315789473684
14565560.8684210526324.13157894736843
15547573.130434782609-26.1304347826087
16555573.130434782609-18.1304347826087
17562573.130434782609-11.1304347826087
18561573.130434782609-12.1304347826087
19555560.868421052632-5.86842105263157
20544560.868421052632-16.8684210526316
21537560.868421052632-23.8684210526316
22543560.868421052632-17.8684210526316
23594560.86842105263233.1315789473684
24611573.13043478260937.8695652173913
25613560.86842105263252.1315789473684
26611560.86842105263250.1315789473684
27594560.86842105263233.1315789473684
28595573.13043478260921.8695652173913
29591573.13043478260917.8695652173913
30589573.13043478260915.8695652173913
31584560.86842105263223.1315789473684
32573560.86842105263212.1315789473684
33567573.130434782609-6.13043478260871
34569560.8684210526328.13157894736843
35621573.13043478260947.8695652173913
36629573.13043478260955.8695652173913
37628560.86842105263267.1315789473684
38612560.86842105263251.1315789473684
39595560.86842105263234.1315789473684
40597573.13043478260923.8695652173913
41593560.86842105263232.1315789473684
42590573.13043478260916.8695652173913
43580560.86842105263219.1315789473684
44574560.86842105263213.1315789473684
45573560.86842105263212.1315789473684
46573560.86842105263212.1315789473684
47620573.13043478260946.8695652173913
48626573.13043478260952.8695652173913
49620560.86842105263259.1315789473684
50588560.86842105263227.1315789473684
51566560.8684210526325.13157894736843
52557573.130434782609-16.1304347826087
53561560.8684210526320.131578947368428
54549560.868421052632-11.8684210526316
55532560.868421052632-28.8684210526316
56526560.868421052632-34.8684210526316
57511560.868421052632-49.8684210526316
58499560.868421052632-61.8684210526316
59555573.130434782609-18.1304347826087
60565560.8684210526324.13157894736843
61542560.868421052632-18.8684210526316