Multiple Linear Regression - Estimated Regression Equation
#Ondernemingen[t] = + 36581.4884680635 -0.582484854210462Personeelskost[t] + 0.000293012405490778Omzet[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)36581.488468063514588.5261542.50760.0200340.010017
Personeelskost-0.5824848542104620.256097-2.27450.0330410.016521
Omzet0.0002930124054907786.1e-054.81238.3e-054.2e-05


Multiple Linear Regression - Regression Statistics
Multiple R0.752757419417204
R-squared0.566643732487648
Adjusted R-squared0.527247708168343
F-TEST (value)14.3832719742226
F-TEST (DF numerator)2
F-TEST (DF denominator)22
p-value0.000101226891887407
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation26025.6107314486
Sum Squared Residuals14901313106.7877


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
12298416.20197814641-8187.20197814641
23889481375.1174852487-42481.1174852487
3754423578.7748038941-16034.7748038941
4259217574.1471169555-14982.1471169555
516015106.5945993354-14946.5945993354
6207314526.9896707865-12453.9896707865
7648310811.4096704089-4328.40967040892
841-18827.448516506518868.4485165065
98293374.90493855648-2545.90493855648
107829030.32162047363-8248.32162047363
1115249704.86748414871-8180.86748414871
12710417127.2806526058-10023.2806526058
1319949811.95765017177-7817.95765017177
1426706441.03389162054-3771.03389162054
159736738.50465828418-5765.50465828418
16412517430.0125294509-13305.0125294509
17176-7727.74014145037903.7401414503
186661926800.681412338639818.3185876614
19136486117615.64289783718870.357102163
201894735057.9809513961-16110.9809513961
214387164629.4491868538-20758.4491868538
227366841536.745061945432131.2549380546
234439229299.315709669415092.6842903306
241968827579.7523563331-7891.75235633313
2511807432925.50233149685148.497668504