Multiple Linear Regression - Estimated Regression Equation

graanprijs[t] = + 109.56 + 37.18ontkoppelde_bedrijfstoeslag[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)	109.56	2.929268	37.4018	0	0
ontkoppelde_bedrijfstoeslag	37.18	4.825995	7.7041	0	0

Multiple Linear Regression - Regression Statistics
Multiple R	0.624160879065545
R-squared	0.389576802955874
Adjusted R-squared	0.383013112665077
F-TEST (value)	59.3533188947229
F-TEST (DF numerator)	1
F-TEST (DF denominator)	93
p-value	1.40016886973626e-11
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	22.6900120132469
Sum Squared Residuals	47879.808

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	Interpolation Forecast	Residuals Prediction Error
1	102.7	109.560000000000	-6.8600000000002
2	103.2	109.56	-6.36000000000004
3	105.6	109.56	-3.96
4	103.9	109.56	-5.65999999999999
5	107.2	109.56	-2.35999999999999
6	100.7	109.56	-8.86
7	92.1	109.56	-17.46
8	90.3	109.56	-19.26
9	93.4	109.56	-16.16
10	98.5	109.56	-11.06
11	100.8	109.56	-8.76
12	102.3	109.56	-7.26
13	104.7	109.56	-4.86
14	101.1	109.56	-8.46
15	101.4	109.56	-8.16
16	99.5	109.56	-10.06
17	98.4	109.56	-11.16
18	96.3	109.56	-13.26
19	100.7	109.56	-8.86
20	101.2	109.56	-8.36
21	100.3	109.56	-9.26
22	97.8	109.56	-11.76
23	97.4	109.56	-12.16
24	98.6	109.56	-10.96
25	99.7	109.56	-9.86
26	99	109.56	-10.56
27	98.1	109.56	-11.46
28	97	109.56	-12.56
29	98.5	109.56	-11.06
30	103.8	109.56	-5.76
31	114.4	109.56	4.84000000000001
32	124.5	109.56	14.94
33	134.2	109.56	24.64
34	131.8	109.56	22.24
35	125.6	109.56	16.04
36	119.9	109.56	10.34
37	114.9	109.56	5.34000000000001
38	115.5	109.56	5.94
39	112.5	109.56	2.94
40	111.4	109.56	1.84000000000001
41	115.3	109.56	5.74
42	110.8	109.56	1.24
43	103.7	109.56	-5.86
44	111.1	109.56	1.54000000000000
45	113	109.56	3.44
46	111.2	109.56	1.64000000000000
47	117.6	109.56	8.04
48	121.7	109.56	12.14
49	127.3	109.56	17.74
50	129.8	109.56	20.24
51	137.1	109.56	27.54
52	141.4	109.56	31.84
53	137.4	109.56	27.84
54	130.7	109.56	21.14
55	117.2	109.56	7.64
56	110.8	109.56	1.24
57	111.4	109.56	1.84000000000001
58	108.2	109.56	-1.35999999999999
59	108.8	109.56	-0.76
60	110.2	109.56	0.640000000000005
61	109.5	146.74	-37.24
62	109.5	146.74	-37.24
63	116	146.74	-30.74
64	111.2	146.74	-35.54
65	112.1	146.74	-34.64
66	114	146.74	-32.74
67	119.1	146.74	-27.64
68	114.1	146.74	-32.64
69	115.1	146.74	-31.64
70	115.4	146.74	-31.34
71	110.8	146.74	-35.94
72	116	146.74	-30.74
73	119.2	146.74	-27.54
74	126.5	146.74	-20.24
75	127.8	146.74	-18.94
76	131.3	146.74	-15.44
77	140.3	146.74	-6.43999999999999
78	137.3	146.74	-9.44
79	143	146.74	-3.74
80	134.5	146.74	-12.24
81	139.9	146.74	-6.84
82	159.3	146.74	12.56
83	170.4	146.74	23.66
84	175	146.74	28.26
85	175.8	146.74	29.06
86	180.9	146.74	34.16
87	180.3	146.74	33.56
88	169.6	146.74	22.86
89	172.3	146.74	25.56
90	184.8	146.74	38.06
91	177.7	146.74	30.96
92	184.6	146.74	37.86
93	211.4	146.74	64.66
94	215.3	146.74	68.56
95	215.9	146.74	69.16