Multiple Linear Regression - Estimated Regression Equation
barrels_purchased[t] = + 7323.02 -381.068unit_price[t] + 108.332cpi[t] + 0.528378`barrels_purchased(t-1)`[t] + 0.424374`barrels_purchased(t-1s)`[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)+7323 3140+2.3320e+00 0.0202 0.0101
unit_price-381.1 88.32-4.3150e+00 2.014e-05 1.007e-05
cpi+108.3 36.9+2.9360e+00 0.003519 0.00176
`barrels_purchased(t-1)`+0.5284 0.03731+1.4160e+01 3.248e-37 1.624e-37
`barrels_purchased(t-1s)`+0.4244 0.03832+1.1070e+01 4.679e-25 2.339e-25


Multiple Linear Regression - Regression Statistics
Multiple R 0.9619
R-squared 0.9252
Adjusted R-squared 0.9245
F-TEST (value) 1243
F-TEST (DF numerator)4
F-TEST (DF denominator)402
p-value 0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation 1.932e+04
Sum Squared Residuals 1.501e+11


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 = 1.7122, df1 = 2, df2 = 400, p-value = 0.1818
Ramsey RESET F-Test for powers (2 and 3) of regressors
> reset_test_regressors
	RESET test
data:  mylm
RESET = 7.8458, df1 = 8, df2 = 394, p-value = 8.46e-10
Ramsey RESET F-Test for powers (2 and 3) of principal components
> reset_test_principal_components
	RESET test
data:  mylm
RESET = 2.846, df1 = 2, df2 = 400, p-value = 0.05925


Variance Inflation Factors (Multicollinearity)
> vif
               unit_price                       cpi  `barrels_purchased(t-1)` 
                 1.426005                  3.101454                  7.498729 
`barrels_purchased(t-1s)` 
                 7.785503