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For a logit model, the pseudo R-squared is defined as 1 minus the ratio of the log likelihoods for the unrestricted and restricted model. Here,

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For a logit model, the pseudo R-squared is defined as 1 minus the ratio of the log likelihoods for the unrestricted and restricted model. Here, the restricted model is the model where the coefficients on _ are set to zero. Select one: O a. all non-binary regressors O b. all binary regressors O c. all non-constant regressors O d. all constant regressorsFor a logit model, the likelihood ratio (LR) statistic may be used to test a null hypothesis against its alternative. The LR statistic is defined as 2 times the difference between the log likelihoods for the unrestricted and restricted models. Here, the restricted model is the model Select one: O a. under the restriction(s) of the null hypothesis. O b. under the restriction(s) of the alternative hypothesis. O c. where the coefficients of all non-constant regressors are set to zero. O d. where the coefficients of all non-binary regressors are set to zero

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