Multiple Linear Regression - Estimated Regression Equation
Score[t] = -18.6605 + 26.9945Geslacht[t] -3.24798X1[t] -0.309166X2[t] -2.31672X3[t] + 0.729851X4[t] + 8.37152X5[t] -8.09407Inter[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-18.66 19.51-9.5640e-01 0.3577 0.1789
Geslacht+26.99 28.61+9.4360e-01 0.364 0.182
X1-3.248 3.297-9.8510e-01 0.344 0.172
X2-0.3092 2.874-1.0760e-01 0.9161 0.4581
X3-2.317 3.504-6.6110e-01 0.521 0.2605
X4+0.7298 3.016+2.4200e-01 0.8129 0.4064
X5+8.371 6.05+1.3840e+00 0.1917 0.09583
Inter-8.094 8.323-9.7250e-01 0.35 0.175


Multiple Linear Regression - Regression Statistics
Multiple R 0.5068
R-squared 0.2569
Adjusted R-squared-0.1766
F-TEST (value) 0.5926
F-TEST (DF numerator)7
F-TEST (DF denominator)12
p-value 0.7508
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation 5.444
Sum Squared Residuals 355.6


Menu of Residual Diagnostics
DescriptionLink
HistogramCompute
Central TendencyCompute
QQ PlotCompute
Kernel Density PlotCompute
Skewness/Kurtosis TestCompute
Skewness-Kurtosis PlotCompute
Harrell-Davis PlotCompute
Bootstrap Plot -- Central TendencyCompute
Blocked Bootstrap Plot -- Central TendencyCompute
(Partial) Autocorrelation PlotCompute
Spectral AnalysisCompute
Tukey lambda PPCC PlotCompute
Box-Cox Normality PlotCompute
Summary StatisticsCompute


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1 6 5.974 0.02618
2 7 9.386-2.386
3 2 7.27-5.27
4 11 11.06-0.06051
5 13 9.051 3.949
6 3 0.6946 2.305
7 17 7.437 9.563
8 10 11.06-1.061
9 4 6.14-2.14
10 12 9.494 2.506
11 7 10.09-3.09
12 11 10.33 0.6693
13 3 6.794-3.794
14 5 7.587-2.587
15 1 9.218-8.218
16 12 9.695 2.305
17 18 9.333 8.667
18 8 5.912 2.088
19 6 5.692 0.3076
20 1 4.78-3.78


Ramsey RESET F-Test for powers (2 and 3) of fitted values
> reset_test_fitted
	RESET test
data:  mylm
RESET = 0.31595, df1 = 2, df2 = 10, p-value = 0.7361
Ramsey RESET F-Test for powers (2 and 3) of regressors
> reset_test_regressors
	RESET test
data:  mylm
RESET = -0.34274, df1 = 14, df2 = -2, p-value = NA
Ramsey RESET F-Test for powers (2 and 3) of principal components
> reset_test_principal_components
	RESET test
data:  mylm
RESET = 9.2294, df1 = 2, df2 = 10, p-value = 0.005357


Variance Inflation Factors (Multicollinearity)
> vif
  Geslacht         X1         X2         X3         X4         X5      Inter 
138.083106   1.540826   1.393605   1.553991   1.396834   3.572375 147.159518