Multiple Linear Regression - Estimated Regression Equation
LFM[t] = + 30162.6 + 14.6135Calculation[t] + 16.9147Algebraic_Reasoning[t] -9.74093Graphical_Interpretation[t] -0.137477Proportionality_and_Ratio[t] -0.461622Probability_and_Sampling[t] -14.9508year[t] + 42.0478group[t] -7.39408gender[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)+3.016e+04 8377+3.6010e+00 0.000378 0.000189
Calculation+14.61 13.48+1.0840e+00 0.2794 0.1397
Algebraic_Reasoning+16.91 12.82+1.3200e+00 0.1881 0.09404
Graphical_Interpretation-9.741 10.01-9.7290e-01 0.3315 0.1657
Proportionality_and_Ratio-0.1375 6.282-2.1880e-02 0.9826 0.4913
Probability_and_Sampling-0.4616 6.028-7.6580e-02 0.939 0.4695
year-14.95 4.165-3.5900e+00 0.0003928 0.0001964
group+42.05 4.151+1.0130e+01 1.225e-20 6.125e-21
gender-7.394 4.319-1.7120e+00 0.08803 0.04401


Multiple Linear Regression - Regression Statistics
Multiple R 0.5673
R-squared 0.3218
Adjusted R-squared 0.3016
F-TEST (value) 15.95
F-TEST (DF numerator)8
F-TEST (DF denominator)269
p-value 0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation 33.29
Sum Squared Residuals 2.981e+05


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 = 1.3706, df1 = 2, df2 = 267, p-value = 0.2557
Ramsey RESET F-Test for powers (2 and 3) of regressors
> reset_test_regressors
	RESET test
data:  mylm
RESET = 1.1259, df1 = 16, df2 = 253, p-value = 0.3311
Ramsey RESET F-Test for powers (2 and 3) of principal components
> reset_test_principal_components
	RESET test
data:  mylm
RESET = 0.54701, df1 = 2, df2 = 267, p-value = 0.5793


Variance Inflation Factors (Multicollinearity)
> vif
              Calculation       Algebraic_Reasoning  Graphical_Interpretation 
                 1.476674                  1.528567                  1.456389 
Proportionality_and_Ratio  Probability_and_Sampling                      year 
                 1.231042                  1.241168                  1.046628 
                    group                    gender 
                 1.080197                  1.147848