Multiple Linear Regression - Estimated Regression Equation
Score[t] = -203.2 -4.73753X1[t] -0.660434X2[t] -0.018252X3[t] -2.12243X4[t] + 123.456X5[t] -17.637X6[t] + 0.0958393Inter[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-203.2 53.21-3.8190e+00 0.002445 0.001223
X1-4.737 2.341-2.0240e+00 0.06587 0.03293
X2-0.6604 1.991-3.3160e-01 0.7459 0.3729
X3-0.01825 2.025-9.0130e-03 0.993 0.4965
X4-2.122 2.255-9.4120e-01 0.3652 0.1826
X5+123.5 31.68+3.8970e+00 0.002123 0.001062
X6-17.64 4.653-3.7900e+00 0.002575 0.001288
Inter+0.09584 0.5256+1.8230e-01 0.8584 0.4292


Multiple Linear Regression - Regression Statistics
Multiple R 0.7979
R-squared 0.6367
Adjusted R-squared 0.4248
F-TEST (value) 3.004
F-TEST (DF numerator)7
F-TEST (DF denominator)12
p-value 0.04548
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation 3.806
Sum Squared Residuals 173.9


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 6.827-0.8268
2 7 9.356-2.356
3 2 5.923-3.923
4 11 10.06 0.9387
5 13 11.83 1.168
6 3-3.179 6.179
7 17 10.21 6.789
8 10 10.06-0.06127
9 4 6.883-2.883
10 12 12.01-0.007609
11 7 10.37-3.37
12 11 12.18-1.184
13 3 4.454-1.454
14 5 6.5-1.5
15 1 1.306-0.3059
16 12 10.02 1.983
17 18 13.01 4.987
18 8 7.912 0.08828
19 6 7.058-1.058
20 1 4.204-3.204


Ramsey RESET F-Test for powers (2 and 3) of fitted values
> reset_test_fitted
	RESET test
data:  mylm
RESET = 7.1357, df1 = 2, df2 = 10, p-value = 0.01187
Ramsey RESET F-Test for powers (2 and 3) of regressors
> reset_test_regressors
	RESET test
data:  mylm
RESET = -0.61668, 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 = 1.2902, df1 = 2, df2 = 10, p-value = 0.3174


Variance Inflation Factors (Multicollinearity)
> vif
        X1         X2         X3         X4         X5         X6      Inter 
  1.588847   1.368582   1.061520   1.596918 200.374005 201.713687   1.200382