Multiple Linear Regression - Estimated Regression Equation

y[t] = + 561.4 + 22.6909090909091x[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)	561.4	5.042763	111.3279	0	0
x	22.6909090909091	11.875097	1.9108	0.060893	0.030447

Multiple Linear Regression - Regression Statistics
Multiple R	0.241407204914485
R-squared	0.0582774385846243
Adjusted R-squared	0.0423160392386011
F-TEST (value)	3.65114845642552
F-TEST (DF numerator)	1
F-TEST (DF denominator)	59
p-value	0.0608933048341368
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	35.6577205586551
Sum Squared Residuals	75016.9090909091

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	Interpolation Forecast	Residuals Prediction Error
1	523	561.4	-38.4000000000001
2	519	561.4	-42.4
3	509	561.4	-52.4
4	512	561.4	-49.4
5	519	561.4	-42.4
6	517	561.4	-44.4
7	510	561.4	-51.4
8	509	561.4	-52.4
9	501	561.4	-60.4
10	507	561.4	-54.4
11	569	561.4	7.6
12	580	561.4	18.6
13	578	584.090909090909	-6.09090909090909
14	565	584.090909090909	-19.0909090909091
15	547	584.090909090909	-37.0909090909091
16	555	561.4	-6.4
17	562	561.4	0.600000000000003
18	561	561.4	-0.399999999999997
19	555	561.4	-6.4
20	544	561.4	-17.4
21	537	561.4	-24.4
22	543	561.4	-18.4
23	594	561.4	32.6
24	611	584.090909090909	26.9090909090909
25	613	584.090909090909	28.9090909090909
26	611	584.090909090909	26.9090909090909
27	594	584.090909090909	9.9090909090909
28	595	584.090909090909	10.9090909090909
29	591	561.4	29.6
30	589	561.4	27.6
31	584	561.4	22.6
32	573	561.4	11.6
33	567	561.4	5.6
34	569	561.4	7.6
35	621	561.4	59.6
36	629	561.4	67.6
37	628	561.4	66.6
38	612	561.4	50.6
39	595	561.4	33.6
40	597	561.4	35.6
41	593	561.4	31.6
42	590	561.4	28.6
43	580	561.4	18.6
44	574	561.4	12.6
45	573	561.4	11.6
46	573	561.4	11.6
47	620	561.4	58.6
48	626	561.4	64.6
49	620	561.4	58.6
50	588	584.090909090909	3.90909090909091
51	566	584.090909090909	-18.0909090909091
52	557	584.090909090909	-27.0909090909091
53	561	561.4	-0.399999999999997
54	549	561.4	-12.4
55	532	561.4	-29.4
56	526	561.4	-35.4
57	511	561.4	-50.4
58	499	561.4	-62.4
59	555	561.4	-6.4
60	565	561.4	3.60000000000000
61	542	561.4	-19.4