Multiple Linear Regression - Estimated Regression Equation
bouwvergunningen[t] = + 338.502189030203 + 6.15102312474545`inflatie `[t] + 0.751624934630228t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)338.50218903020313.28845425.473400
`inflatie `6.151023124745453.1342311.96250.0540510.027026
t0.7516249346302280.2602472.88810.0052820.002641


Multiple Linear Regression - Regression Statistics
Multiple R0.366656095248077
R-squared0.134436692182567
Adjusted R-squared0.107387838813272
F-TEST (value)4.97014384850695
F-TEST (DF numerator)2
F-TEST (DF denominator)64
p-value0.00985287138616242
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation39.8202844818466
Sum Squared Residuals101481.923597772


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1300353.155126226758-53.1551262267581
2302355.813568330059-53.8135683300592
3400359.64070482706240.3592951729378
4392358.48551259302133.5144874069787
5373357.69938174646515.3006182535348
6379360.66537500600418.3346249939962
7303363.077776184315-60.0777761843153
8324363.644870425203-39.6448704252031
9353364.704046516071-11.7040465160706
10392361.21146549462730.7885345053735
11327362.578192741731-35.5781927417313
12376365.2981450762810.70185492372
13329364.450503998476-35.4505039984764
14359363.66437315192-4.66437315192032
15413360.17179213047652.8282078695238
16338362.584193308788-24.5841933087877
17422364.75055356210957.2494464378906
18390363.53385109682126.466148903179
19370362.624699787777.37530021222999
20367363.5608554161433.4391445838574
21406361.79056086962744.2094391303728
22418362.4806755730155.51932442699
23346364.954586982569-18.9545869825689
24350366.628865385911-16.628865385911
25330367.503510783036-37.5035107830361
26318368.931748261388-50.9317482613883
27382369.99092435225612.0090756477442
28337370.496508361896-33.4965083618962
29372368.1726217341543.82737826584625
30422368.98575690003153.0142430999686
31428370.22946368464157.7705363153587
32426369.44333283808556.5566671619148
33396372.59385679136623.4061432086339
34458377.83572860706180.1642713929395
35315382.893069729013-67.8930697290126
36337384.567348132355-47.5673481323546
37386387.594851623141-1.59485162314065
38352389.453660720225-37.4536607202251
39383394.818552998414-11.8185529984144
40439394.09393238310644.9060676168943
41397401.365641829966-4.3656418299661
42453405.74637040819647.2536295918039
43363407.174607886548-44.1746078865484
44365404.727700796311-39.727700796311
45474405.90989734967368.0901026503266
46373402.109765171992-29.109765171992
47403393.1427735695249.8572264304756
48384390.757376710534-6.75737671053444
49364389.602184476494-25.6021844764936
50361387.954910392473-26.9549103924731
51419380.64869503368738.3513049663132
52352381.277299505822-29.2772995058221
53363376.062432009449-13.0624320094492
54410372.32381006301537.6761899369847
55361369.507841585293-8.50784158529316
56383375.7953873321947.20461266780571
57342374.025092785679-32.0250927856789
58369377.237126970207-8.2371269702073
59361382.109937398417-21.109937398417
60317385.19895112045-68.1989511204505
61386388.164944379989-2.16494437998906
62318389.408651164599-71.408651164599
63407396.06525829898510.9347417010152
64393397.678026471079-4.67802647107938
65404401.320632274342.67936772566004
66498403.24095160267294.7590483973282
67438404.66918908102433.3308109189759