Multiple Linear Regression - Estimated Regression Equation
NUMERACYTOT[t] = + 19.2686 + 1.82359gender[t] -0.604147group[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0		2-tail p-value1-tail p-value
(Intercept)+19.27 0.539+3.5750e+01 2.222e-105 1.111e-105
gender+1.824 0.6143+2.9690e+00 0.003256 0.001628
group-0.6041 0.6087-9.9250e-01 0.3218 0.1609


Multiple Linear Regression - Regression Statistics
Multiple R 0.1812
R-squared 0.03284
Adjusted R-squared 0.0258
F-TEST (value) 4.668
F-TEST (DF numerator)2
F-TEST (DF denominator)275
p-value 0.01015
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation 5.052
Sum Squared Residuals 7019


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 = 0.17872, df1 = 2, df2 = 273, p-value = 0.8364
Ramsey RESET F-Test for powers (2 and 3) of regressors
> reset_test_regressors
	RESET test
data:  mylm
RESET = 0, df1 = 4, df2 = 271, p-value = 1
Ramsey RESET F-Test for powers (2 and 3) of principal components
> reset_test_principal_components
	RESET test
data:  mylm
RESET = 0.17872, df1 = 2, df2 = 273, p-value = 0.8364


Variance Inflation Factors (Multicollinearity)
> vif
  gender    group 
1.008434 1.008434