Multiple Linear Regression - Estimated Regression Equation
LFM[t] = + 29176.7 + 14.4771Calculation[t] + 20.6908Algebraic_Reasoning[t] -10.4521Graphical_Interpretation[t] + 0.36667Proportionality_and_Ratio[t] -3.50635Probability_and_Sampling[t] -4.7807Estimation[t] -14.4613year[t] + 41.9064group[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)+2.918e+04 8399+3.4740e+00 0.0005976 0.0002988
Calculation+14.48 13.71+1.0560e+00 0.2919 0.1459
Algebraic_Reasoning+20.69 12.79+1.6170e+00 0.107 0.05349
Graphical_Interpretation-10.45 10.07-1.0380e+00 0.3001 0.15
Proportionality_and_Ratio+0.3667 6.338+5.7850e-02 0.9539 0.477
Probability_and_Sampling-3.506 5.802-6.0440e-01 0.5461 0.2731
Estimation-4.781 5.603-8.5330e-01 0.3943 0.1971
year-14.46 4.175-3.4640e+00 0.00062 0.00031
group+41.91 4.168+1.0050e+01 2.126e-20 1.063e-20


Multiple Linear Regression - Regression Statistics
Multiple R 0.5624
R-squared 0.3162
Adjusted R-squared 0.2959
F-TEST (value) 15.55
F-TEST (DF numerator)8
F-TEST (DF denominator)269
p-value 0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation 33.42
Sum Squared Residuals 3.005e+05


Ramsey RESET F-Test for powers (2 and 3) of fitted values
> reset_test_fitted
	RESET test
data:  mylm
RESET = 0.51157, df1 = 2, df2 = 267, p-value = 0.6001
Ramsey RESET F-Test for powers (2 and 3) of regressors
> reset_test_regressors
	RESET test
data:  mylm
RESET = 1.0984, df1 = 16, df2 = 253, p-value = 0.3567
Ramsey RESET F-Test for powers (2 and 3) of principal components
> reset_test_principal_components
	RESET test
data:  mylm
RESET = 1.5868, df1 = 2, df2 = 267, p-value = 0.2065


Variance Inflation Factors (Multicollinearity)
> vif
              Calculation       Algebraic_Reasoning  Graphical_Interpretation 
                 1.513690                  1.510420                  1.460516 
Proportionality_and_Ratio  Probability_and_Sampling                Estimation 
                 1.242952                  1.140334                  1.176904 
                     year                     group 
                 1.043517                  1.080099