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# Binary Logistic Regression in Statistics MCQ

### Classification Table means assess how well a logistic regression or a discriminant analysis predicts group membership, a contingency table can be set up to show how well or how poorly the predicted group memberships correspond to the actual group memberships.

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### The exponential of B, which can also be represented as eB. This is used in binary logistic regression is known as:

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### For each B coefficient in a logistic regression model, the corresponding Wald function tests the null hypothesis that B = 0 is known as:

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### In binary logistic regression, this is one of the pseudo-R2 values provided by SPSS as an overall index of the strength of prediction for the entire model is called _____________ .

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### This is one of the pseudo-R2 values provided by SPSS as an overall index of the strength of prediction for a binary logistic regression model is known as:

Correct Answer: Cox and Snell’s R2

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### In binary logistic regression, –2LL is analogous to the sum of squared residuals in a multiple linear regression; the larger the absolute value of –2LL.

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### _____________ _ is an index of goodness of fit. For each case, the log of the predicted probability of group membership (such as the log of p =.89) is multiplied by the actual group membership code (e.g., 0 or 1).

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### In binary logistic regression, the null model represents prediction of group membership that does not use information about any predictor variables.

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### The exponential function applied to a specific numerical value such as a is simply ea is called ______________ .

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### Logit is a natural logarithm of an odds.

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### This is a function that has an S-shaped curve. This type of function usually occurs when the variable plotted on the X axis is a probability, because probabilities must fall between 0 and 1 is called ____________ .

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