Multiple Linear Regression - Estimated Regression Equation
FallBelg[t] = + 1702.11069424442 -11.3568564766928Brutoloonindex[t] + 12.7424403456143wgbijdrage[t] + 0.576104568004478`brutoomzetindex `[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)1702.11069424442944.4515781.80220.0866040.043302
Brutoloonindex-11.356856476692819.016016-0.59720.5570580.278529
wgbijdrage12.742440345614314.5645240.87490.3920160.196008
`brutoomzetindex `0.5761045680044782.345810.24560.8085030.404252


Multiple Linear Regression - Regression Statistics
Multiple R0.250601753452637
R-squared0.0628012388335361
Adjusted R-squared-0.0777785753414333
F-TEST (value)0.446730131221912
F-TEST (DF numerator)3
F-TEST (DF denominator)20
p-value0.722307325913616
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation307.024400459346
Sum Squared Residuals1885279.64954842


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
121482051.4643616051196.5356383948903
221181922.47763075824195.522369241758
316031979.14588783937-376.145887839373
420662121.8853996134-55.8853996133982
520952012.3093776575782.6906223424321
622101927.36666048778282.633339512216
716091967.99249586724-358.992495867237
819642103.43228458252-139.432284582522
921142026.0481376516487.9518623483563
1020541931.5875592673122.412440732698
1114241990.09852046252-566.098520462516
1220252110.04594557109-85.0459455710914
1320032008.97477374338-5.97477374337656
1420172112.04126483667-95.0412648366665
1515282068.49534897329-540.495348973291
1621302159.20769774089-29.2076977408913
1720172059.60198308573-42.6019830857348
1822601988.79493812041271.205061879588
1918052033.5249089002-228.5249089002
2023942162.60213775953231.397862240471
2125862068.93340588044517.066594119562
2224291977.93550623787451.064493762127
2319102078.81150144668-168.811501446681
2425152161.22227191112353.777728088879