Multiple Linear Regression - Estimated Regression Equation

dollarkoers[t] = + 0.97001875 + 0.0481026785714286dummy[t] + 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)	0.97001875	0.017542	55.2966	0	0
dummy	0.0481026785714286	0.025679	1.8732	0.066079	0.033039

Multiple Linear Regression - Regression Statistics
Multiple R	0.238847838312137
R-squared	0.0570482898663805
Adjusted R-squared	0.0407905017606286
F-TEST (value)	3.50898224871049
F-TEST (DF numerator)	1
F-TEST (DF denominator)	58
p-value	0.0660788714776899
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	0.0992332132848794
Sum Squared Residuals	0.571139375892857

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	Interpolation Forecast	Residuals Prediction Error
1	1.2286	1.01812142857143	0.210478571428570
2	1.1702	1.01812142857143	0.152078571428571
3	1.1692	1.01812142857143	0.151078571428571
4	1.1222	1.01812142857143	0.104078571428572
5	1.1139	1.01812142857143	0.0957785714285714
6	1.1372	1.01812142857143	0.119078571428571
7	1.1663	1.01812142857143	0.148178571428571
8	1.1582	1.01812142857143	0.140078571428571
9	1.0848	1.01812142857143	0.0666785714285714
10	1.0807	1.01812142857143	0.0625785714285714
11	1.0773	1.01812142857143	0.0591785714285714
12	1.0622	1.01812142857143	0.0440785714285715
13	1.0183	1.01812142857143	0.000178571428571434
14	1.0014	1.01812142857143	-0.0167214285714285
15	0.9811	1.01812142857143	-0.0370214285714286
16	0.9808	1.01812142857143	-0.0373214285714285
17	0.9778	1.01812142857143	-0.0403214285714285
18	0.9922	1.01812142857143	-0.0259214285714286
19	0.9554	1.01812142857143	-0.0627214285714285
20	0.917	1.01812142857143	-0.101121428571429
21	0.8858	1.01812142857143	-0.132321428571429
22	0.8758	1.01812142857143	-0.142321428571429
23	0.87	1.01812142857143	-0.148121428571429
24	0.8833	1.01812142857143	-0.134821428571429
25	0.8924	1.01812142857143	-0.125721428571429
26	0.8883	1.01812142857143	-0.129821428571429
27	0.9059	1.01812142857143	-0.112221428571429
28	0.9111	1.01812142857143	-0.107021428571429
29	0.9005	0.97001875	-0.06951875
30	0.8607	0.97001875	-0.10931875
31	0.8532	0.97001875	-0.11681875
32	0.8742	0.97001875	-0.09581875
33	0.892	0.97001875	-0.07801875
34	0.9095	0.97001875	-0.06051875
35	0.9217	0.97001875	-0.04831875
36	0.9383	0.97001875	-0.03171875
37	0.8973	0.97001875	-0.07271875
38	0.8564	0.97001875	-0.11361875
39	0.8552	0.97001875	-0.11481875
40	0.8721	0.97001875	-0.09791875
41	0.9041	0.97001875	-0.06591875
42	0.9397	0.97001875	-0.03031875
43	0.9492	0.97001875	-0.0208187500000000
44	0.906	0.97001875	-0.06401875
45	0.947	0.97001875	-0.0230187500000000
46	0.9643	0.97001875	-0.00571874999999996
47	0.9834	0.97001875	0.0133812500000000
48	1.0137	0.97001875	0.0436812500000000
49	1.011	0.97001875	0.0409812499999999
50	1.0338	0.97001875	0.06378125
51	1.0706	0.97001875	0.10058125
52	1.0501	0.97001875	0.08008125
53	1.0604	0.97001875	0.09038125
54	1.0353	0.97001875	0.0652812500000001
55	1.0378	0.97001875	0.06778125
56	1.0628	0.97001875	0.09278125
57	1.0704	0.97001875	0.10038125
58	1.0883	0.97001875	0.11828125
59	1.1208	0.97001875	0.15078125
60	1.1608	0.97001875	0.19078125