Multiple Linear Regression - Estimated Regression Equation
AllSuicides[t] = + 745.869 + 2.74418totalmo[t] + 367.372`1`[t] + 419.134`3`[t] + 348.255`4`[t] + 387.289`5`[t] + 232.414`6`[t] + 352.327`7`[t] + 288.718`8`[t] + 133.153`9`[t] + 223.784`10`[t] + 61.7883`11`[t] + 69.3017`12`[t] + 449.197rw[t] + 0.336478`AllSuicides(t-1)`[t] + 0.235723`AllSuicides(t-2)`[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)+745.9 136.1+5.4810e+00 1.361e-07 6.804e-08
totalmo+2.744 0.4143+6.6230e+00 3.676e-10 1.838e-10
`1`+367.4 34.11+1.0770e+01 2.474e-21 1.237e-21
`3`+419.1 41.54+1.0090e+01 2.273e-19 1.137e-19
`4`+348.2 29.46+1.1820e+01 2.083e-24 1.042e-24
`5`+387.3 34.07+1.1370e+01 4.437e-23 2.219e-23
`6`+232.4 32.89+7.0670e+00 3.088e-11 1.544e-11
`7`+352.3 37.91+9.2930e+00 4.055e-17 2.028e-17
`8`+288.7 33.2+8.6970e+00 1.774e-15 8.87e-16
`9`+133.2 36.86+3.6130e+00 0.0003898 0.0001949
`10`+223.8 37.47+5.9730e+00 1.161e-08 5.807e-09
`11`+61.79 32.26+1.9160e+00 0.05695 0.02848
`12`+69.3 37.5+1.8480e+00 0.06615 0.03308
rw+449.2 61.57+7.2960e+00 8.305e-12 4.153e-12
`AllSuicides(t-1)`+0.3365 0.06433+5.2300e+00 4.531e-07 2.265e-07
`AllSuicides(t-2)`+0.2357 0.0638+3.6950e+00 0.0002895 0.0001447


Multiple Linear Regression - Regression Statistics
Multiple R 0.9825
R-squared 0.9653
Adjusted R-squared 0.9625
F-TEST (value) 344.5
F-TEST (DF numerator)15
F-TEST (DF denominator)186
p-value 0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation 82.03
Sum Squared Residuals 1.252e+06


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


Ramsey RESET F-Test for powers (2 and 3) of fitted values
> reset_test_fitted
	RESET test
data:  mylm
RESET = 17.446, df1 = 2, df2 = 184, p-value = 1.154e-07
Ramsey RESET F-Test for powers (2 and 3) of regressors
> reset_test_regressors
	RESET test
data:  mylm
RESET = 0.63812, df1 = 30, df2 = 156, p-value = 0.9257
Ramsey RESET F-Test for powers (2 and 3) of principal components
> reset_test_principal_components
	RESET test
data:  mylm
RESET = 9.0826, df1 = 2, df2 = 184, p-value = 0.0001731


Variance Inflation Factors (Multicollinearity)
> vif
           totalmo                `1`                `3`                `4` 
         17.523818           2.546944           3.992335           2.008438 
               `5`                `6`                `7`                `8` 
          2.684985           2.502452           3.325742           2.549725 
               `9`               `10`               `11`               `12` 
          3.142910           3.247754           2.407114           3.252767 
                rw `AllSuicides(t-1)` `AllSuicides(t-2)` 
          1.115366          22.281816          21.952108