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MA251 Final Exam - Statistics II
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MCQs on Statistics.

MA251 Final Exam - Statistics II
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25 Questions

1. R2 is computed to be 0.79 for a multiple regression analysis on fifty independent variables.What is the appropriate interpretation of R2 = 0.79?
2. Which of the following is a method of multivariate analysis?
3. Which of the following criteria is used to determine the best regression model?
4. In survival analysis, if the probability of surviving to time t is P(t), what is the survival function?
5. What are the consequences of heteroscedasticity in ordinary least square estimates?
6. What is the F ratio in a one-way ANOVA?
7. The correlation coefficient between two random variables is 0.85, which indicates
8. Fill in the blank. In data mining, ______ is used to predict categorical class labels.
9. An event happens at a constant hazard rate of 0.5 events per second.What is the survival function at 1 second since the last event?
10. Fill in the blank. In multiple regression analysis, ________ occurs when independent predictors are correlated with one another.
11. You conducted a 2 (gender) x 4 (treatment group) analysis of responses to 4 different treatment regiments for depression.You conducted a two-way ANOVA and found that the F-value for the corrected model is significant.Which conclusion can you make based on this analysis?
12. Fill in the blank. ________ is used to test the significance of multiple regression model.
13. A multiple regression model has p independent variables.What is the degree of freedom for error if data contain N observations?
14. Which of the following assumptions about the error term of multiple regression model is NOT true?
15. Which of the following is polynomial regression model?
16. In the context of Generalized Linear Models (GLM), what is the link function for logistic regression?
17. Which of the following is NOT true about principal component analysis (PCA)?
18. Which of the following procedures is backward elimination procedure for selecting models?
19. Calculate R2 for a multiple regression model, with SSR = 100 and SSE = 200.
20. The sample mean and the variance for X are 0 and 1.The sample mean and the variance of Y are 2 and 2.The sample correlation is 0.7.What is the intercept of the least squares line?
21. Which quantity measures the variability of the observed values of the response variable around their respective treatment means?
22. Which of the following statements describes 'redundancy' in multiple regression?
23. Which of the following is NOT true about supervised learning?
24. In structural equation modeling (SEM), what are endogenous variables?
25. In logistic regression, which test is used to reject the null hypothesis that β = 0?

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