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Regression Analysis MCQ's

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

   View Answer   

   SST



2. __________ means predicting one variable from another.

   View Answer   

   Regress



3. R Square Value can be greater than zero.

   View Answer   

   False



4. ________ is a unit less quantity.

   View Answer   

   R Square



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

   View Answer   

   Multi–Correlation



6. It is recommended to exclude a term that is deeply correlated with another while fitting a Multiple Regression Model.

   View Answer   

   True



7. Regression exhibits a causal relationship between two variables.

   View Answer   

   False



8. The SSE is based on the number of observations present in the data set.

   View Answer   

   True



9. SSE is _________ for the Line of Best Fit and _______ for the baseline model.

   View Answer   

   small,big



10. The process of eliminating the mean and then dividing the value by the standard deviation is called ____________.

   View Answer   

   Normalization



11. Sum of Squared error is a measure of standard for a Regression Line.

   View Answer   

   True



12. Discarding theoretical considerations for Statistical Measures is OK.

   View Answer   

   False



13. Arithmetic Mean can be used as a prediction measure.

   View Answer   

   True



14. What is the quantity that measures the strength of the relationship between two variables?

   View Answer   

   Corr



15. The formula for root means square error is _____________.

   View Answer   

   sqrt(SSE/n)



16. It is advised to go for a simpler model while fitting multiple regression for a dataset.

   View Answer   

   True



17. When more variables are included in Multi-Variable Regression, the marginal improvement drops as each variable is included. This term is known as _____________

   View Answer   

   Law of Diminishing Returns



18. What is the basic property of the model of the best fit?

   View Answer   

   Minimize Error



19. What is the term that represents the difference between actual and predicted value called?

   View Answer   

   Residual



20. pr(>|t|) term signifies how likely the estimated value is zero.

   View Answer   

   True



21. The process of rescaling the values in the range [0,1] is called __________.

   View Answer   

   Normalization



22. What is the good range of correlation values to include in the regression model?

   View Answer   

   -0.7 to + 0.7



23. In multivariable regression, you can predict a variable using more than one variable.

   View Answer   

   True



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