Multiple Linear Regression - Estimated Regression Equation
LFM[t] = + 87.5711 + 21.25Calculation[t] + 20.8481Algebraic_Reasoning[t] -13.7184Graphical_Interpretation[t] -2.45875Probability_and_Sampling[t] -1.58339Proportionality_and_Ratio[t] -5.2563Estimation[t] + 42.8534group[t] -6.52554gender[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)+87.57 10.08+8.6870e+00 3.681e-16 1.84e-16
Calculation+21.25 13.96+1.5220e+00 0.1293 0.06463
Algebraic_Reasoning+20.85 13.11+1.5900e+00 0.1129 0.05646
Graphical_Interpretation-13.72 10.2-1.3450e+00 0.1797 0.08985
Probability_and_Sampling-2.459 6.138-4.0060e-01 0.689 0.3445
Proportionality_and_Ratio-1.583 6.427-2.4640e-01 0.8056 0.4028
Estimation-5.256 5.702-9.2180e-01 0.3574 0.1787
group+42.85 4.241+1.0100e+01 1.481e-20 7.405e-21
gender-6.526 4.407-1.4810e+00 0.1398 0.06991


Multiple Linear Regression - Regression Statistics
Multiple R 0.5399
R-squared 0.2915
Adjusted R-squared 0.2705
F-TEST (value) 13.84
F-TEST (DF numerator)8
F-TEST (DF denominator)269
p-value 0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation 34.02
Sum Squared Residuals 3.114e+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 = 0.041469, df1 = 2, df2 = 267, p-value = 0.9594
Ramsey RESET F-Test for powers (2 and 3) of regressors
> reset_test_regressors
	RESET test
data:  mylm
RESET = 1.0678, df1 = 16, df2 = 253, p-value = 0.3865
Ramsey RESET F-Test for powers (2 and 3) of principal components
> reset_test_principal_components
	RESET test
data:  mylm
RESET = 0.41084, df1 = 2, df2 = 267, p-value = 0.6635


Variance Inflation Factors (Multicollinearity)
> vif
              Calculation       Algebraic_Reasoning  Graphical_Interpretation 
                 1.516202                  1.530479                  1.446530 
 Probability_and_Sampling Proportionality_and_Ratio                Estimation 
                 1.231737                  1.233344                  1.176489 
                    group                    gender 
                 1.079533                  1.144033