Advanced Regression Analysis MCQ's

1. What is/are the outcome of optimizing the likelihood function ?

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   Parameters

2. ________________ Regression can be used to model the data when the outcome is dichotomous .

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   Logistic

3. When we normally multiply the coefficients with covariates we get a numeric value ? But when we need to get an output in the range 0 to 1 what do we need to perform ?

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   Non Linear Transformation

4. A linear Model best predicts when the dependent variable is Binary.

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   False

5. The systematic component in a GLM consists of Linear Predictor . What are they ?

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   Covariate and Coefficient

Regression Analysis MCQ's

1. What is the sum of standard error for the baseline model?

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   SST

2. __________ means predicting one variable from another.

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   Regress

3. R Square Value can be greater than zero.

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   False

4. ________ is a unit less quantity.

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   R Square

5. Two or more variables correlating in a Multiple Regression Model is known as ____________.

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   Multi–Correlation