Multiple Linear Regression - Estimated Regression Equation

Aantal_dode_en_zwaargewonde_fietsslachtoffers[t] = + 6452.95403951024 -0.00247482291441174Aantal_benzinewagens[t] -0.00140175934816603Aantal_dieselwagens[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)	6452.95403951024	686.770395	9.3961	0	0
Aantal_benzinewagens	-0.00247482291441174	0.00036	-6.8666	4e-06	2e-06
Aantal_dieselwagens	-0.00140175934816603	0.00013	-10.805	0	0

Multiple Linear Regression - Regression Statistics
Multiple R	0.965122895300035
R-squared	0.931462203032322
Adjusted R-squared	0.922894978411362
F-TEST (value)	108.723915181761
F-TEST (DF numerator)	2
F-TEST (DF denominator)	16
p-value	4.86901519103355e-10
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	64.5087809139153
Sum Squared Residuals	66582.1250399923

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	Interpolation Forecast	Residuals Prediction Error
1	889	852.123054137123	36.8769458628769
2	912	870.413820804325	41.5861791956747
3	908	895.744156968928	12.2558430310721
4	893	906.877053935552	-13.8770539355518
5	922	910.026013781001	11.9739862189988
6	912	921.217737475818	-9.21773747581843
7	876	933.355693632727	-57.355693632727
8	851	938.537696112026	-87.5376961120257
9	880	956.099684906647	-76.0996849066472
10	958	973.49082873107	-15.4908287310702
11	1058	1028.16769419403	29.8323058059698
12	1067	1092.14826142536	-25.1482614253611
13	1165	1070.99617680926	94.003823190735
14	1109	1175.88439990847	-66.8843999084716
15	1324	1233.87316870146	90.1268312985422
16	1407	1278.27251110087	128.727488899129
17	1423	1409.31036194099	13.6896380590102
18	1442	1510.73691039501	-68.7369103950142
19	1545	1583.72477503932	-38.7247750393212