Multiple Linear Regression - Estimated Regression Equation
Score[t] = -3.79028 -3.02469X1[t] -0.00242463X2[t] -0.39795X3[t] + 0.787451X4[t] + 3.87749X5[t] -0.294381Inter[t] -0.0355305t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-3.79 12.1-3.1340e-01 0.7594 0.3797
X1-3.025 3.569-8.4750e-01 0.4133 0.2066
X2-0.002425 3.172-7.6430e-04 0.9994 0.4997
X3-0.398 3.02-1.3180e-01 0.8974 0.4487
X4+0.7874 3.473+2.2680e-01 0.8244 0.4122
X5+3.877 3.815+1.0160e+00 0.3295 0.1648
Inter-0.2944 0.7855-3.7480e-01 0.7144 0.3572
t-0.03553 0.2711-1.3110e-01 0.8979 0.4489


Multiple Linear Regression - Regression Statistics
Multiple R 0.4504
R-squared 0.2029
Adjusted R-squared-0.2621
F-TEST (value) 0.4364
F-TEST (DF numerator)7
F-TEST (DF denominator)12
p-value 0.8612
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation 5.638
Sum Squared Residuals 381.5


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 4.615 1.385
2 7 9.719-2.719
3 2 7.24-5.24
4 11 10.42 0.5762
5 13 9.287 3.713
6 3 3.441-0.4411
7 17 9.247 7.753
8 10 10.28-0.2817
9 4 6.481-2.481
10 12 9.035 2.965
11 7 9.864-2.864
12 11 9.352 1.648
13 3 5.383-2.383
14 5 7.024-2.024
15 1 11.08-10.08
16 12 9.224 2.776
17 18 8.505 9.495
18 8 6.106 1.893
19 6 4.332 1.668
20 1 6.356-5.356


Ramsey RESET F-Test for powers (2 and 3) of fitted values
> reset_test_fitted
	RESET test
data:  mylm
RESET = 4.9364, df1 = 2, df2 = 10, p-value = 0.03226
Ramsey RESET F-Test for powers (2 and 3) of regressors
> reset_test_regressors
	RESET test
data:  mylm
RESET = -0.35179, 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 = 0.046094, df1 = 2, df2 = 10, p-value = 0.9552


Variance Inflation Factors (Multicollinearity)
> vif
      X1       X2       X3       X4       X5    Inter        t 
1.682875 1.583100 1.076013 1.725949 1.324195 1.221752 1.537496