Use \'ncvTest\' instead. See help(\"Deprecated) and help(\"car-deprecated\"). >

Question

Use 'ncvTest' instead. See help("Deprecated) and help("car-deprecated"). > ncvTest(logmodel.1) Non-constant Variance Score Test Variance formula: ~ fitted.values Chisquare = 1.837144 Df = 1 p = 0.1752861 > ncvTest(Full.Model) Non-constant Variance Score Test Variance formula: ~ fitted.values Chisquare - 5.692918 Df = 1 p = 0.01703351 > ncvTestCReduced.Model) Non-constant Variance Score Test Variance formula: ~ fitted.values Chisquare = 0.05478786 Df = 1 p = 0.8149321 > > > > >

Explanation / Answer

Above image shows the p values of each model

For full model pvalue=0.01703351

Only this p value is less than 0.05 so we reject null hypothesis

Conclusion : there is relation between variables.

So full model is best model for prediction .

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